Abstract: A measuring device is used to increase a contrast of a plurality of measured values displayed in a spectrogram or spectral histogram and contains a data-acquisition unit, a computer unit and a statistic unit. The data-acquisition unit is embodied to detect a plurality of measured values to be displayed. The statistic unit is embodied to calculate a distribution which contains the frequency of occurrence for every level value of the measured values to be displayed. The computer unit is embodied to specify a dynamic range, over which the contrast extends. In this context, a specified proportion of the level values which image the noise are not used for the specification of the dynamic range.

Abstract: Systems, methods, and devices are provided to determine an accurate neutron-gamma density (NGD) measurement for a broad range of formations, including low-hydrogen-index or low-porosity formations and formations with heavy elements. For example, such an NGD measurement may be obtained by emitting neutrons into a formation such that some of the neutrons inelastically scatter off elements of the formation and generate inelastic gamma rays. The neutrons and inelastic gamma rays that return to the downhole tool may be detected. Some characteristics of certain formations are believed to affect the fast neutron transport of the formations. Thus, if a formation has one or more of such characteristics, a correction may be applied to the count rate of neutrons, the count rate of inelastic gamma rays, or the neutron transport correction function, upon which the neutron-gamma density (NGD) may be determined.

Abstract: A method is described for the combined processing of spectral data from a plurality of radiation detectors (4,6), in particular with a plurality of response functions, comprising: obtaining a response matrix for each detector (4,6); collecting data from radiation incident at each detector (4,6); producing a spectral histogram for the collected data from each detector (4,6); deconvoluting the histograms from each detector by applying a suitable numerical deconvolution such as a Bayesian deconvolution that makes use of the response matrix for each detector to derive a single spectral histogram that representatively combines information from the plurality of detectors. An apparatus, such as a hybrid detector apparatus, to which the method can be applied is also described.

Abstract: In a composite machine provided with a copy mode and a print mode, an operation history of each operation mode is accurately timed and log information concerning an electric power of the composite machine for processing various jobs such as the copy mode and the print mode is prepared based on a timed value.

Abstract: A chip with a built-in self-test (BIST) component capable of testing the linearity of an ADC is described herein. The BIST component uses hardware registers to facilitate a sliding histogram technique to save space on the chip. A subset of detected digital codes are analyzed, and DNL and INL calculations are performed by a controller to determine whether any of the digital codes in the subset exceed maximum or minimum DNL and INL thresholds. New digital codes being detected by the ADC are added to the subset as lower-value digital codes are pushed out of the subset, maintaining the same number of digital codes being analyzed as the subset moves from lower codes detected during lower voltages to higher codes detected at higher voltages. A synchronizer and pointer ensure that the subset moves through the digital codes at the same rate as the analog input ramp source.

Abstract: A real-time spectrum analyzer for measuring time domain data sampled from an input signal includes a processing unit and a density histogram memory unit. The processing unit includes an FFT engine, a frequency mask detector and a frequency mask gate. The FFT engine performs FFTs on the sampled time domain data to provide FFT spectra, each FFT spectrum including multiple FFT points. The frequency mask detector determines whether each FFT point in each spectrum meets a trigger condition, and generates gate control signals corresponding to the FFT spectra based on the determinations. The frequency mask gate receives the FFT spectra and the gate control signals, and outputs only select FFT spectra that contain at least one FFT point that meets the trigger condition in response to the corresponding gate control signal. The density histogram memory unit stores the select FFT spectra for generating in a density histogram.

Abstract: Method and apparatus for improved processing for multi-channel signals. In an exemplary embodiment, an anomaly metric is computed for a multi-channel signal over a time window. The magnitude of the anomaly metric may be used to determine whether an anomaly is present in the multi-channel signal over the time window. In an exemplary embodiment, the anomaly metric may be a condition number associated with the singular values of the multi-channel signal over the time window, as further adjusted by the number of channels to produce a data condition number. Applications of the anomaly metric computation include the scrubbing of signal archives for epileptic seizure detection/prediction/counter-prediction algorithm training, pre-processing of multi-channel signals for real-time monitoring of bio-systems, and boot-up and/or adaptive self-checking of such systems during normal operation.

Abstract: Apparatuses and methods related to time-to-digital converters (TDCs) are herein described. Generally, a time-to-digital converter is a device which measures a time period or time interval and outputs a digital value representing the measured time period. In an implementation, an apparatus is provided comprising a time-to-digital converter circuit, which further comprises a built-in self test (BIST). The built-in self test may be implemented using one or more oscillators coupled to the time-to-digital converter via one or more multiplexer devices.

Abstract: Provided is a measurement apparatus that measures a characteristic of an AD converter, comprising a signal supplying section that supplies the AD converter with an analog input signal having a prescribed waveform; an acquiring section that acquires a digital output signal output by the AD converter as a result of sampling the analog input signal; a measured histogram generating section that generates a histogram of the digital output signal; and a range calculating section that calculates at least one of an analog value corresponding to a lower limit and an analog value corresponding to an upper limit of a prescribed digital range, based on at least one of (i) a frequency corresponding to digital values, in a measured histogram obtained by measuring the digital output signal, that are less than or equal to the digital range and (ii) a frequency corresponding to digital values in the measured histogram that are greater than or equal to the digital range.

Abstract: Grass seed performance may be predicted by receiving grass seed selections for individual grass seed varieties and target geographic regions for growing the grass seed selection. A common set of grass attributes is identified from historical grass attribute values associated with the selected target regions. The historical grass attribute values in the first common set of grass attributes are retrieved and are displayed in a graphical format for the at least two individual grass seed varieties in the at least two selected target regions. A weighted average may be calculated for the historical grass attribute values in the common set and may provide a prediction of performance of the individual grass seed varieties across the selected geographic regions or in regions proximate the selected geographic regions.

Abstract: A histogram-based method for testing an electronic converter device, such as an analogue to digital converter, includes steps of defining at least one histogram hyperbin arranged to store hits for at least one subrange of output codes; applying an input test stimulus to an input of the device to test a subrange of output codes matched to the hyperbin; and accumulating the histogram. At least two hyperbins may be provided, each bin being arranged to store hits for at least one subrange of output codes, and the input test stimulus is applied to an input of the device to test a subrange of output codes matched to one of the hyperbins. Both hyperbins may be open while the histogram is being accumulated for any subrange of output codes. The method may further involve varying the input stimulus to test another subrange.

Abstract: An analyzer which acquires first measured data relating to a first parameter and second measured data relating to a second parameter, the first and second measured data being obtained by measuring an analyte, forms a two-dimensional distribution chart that indicates a distribution of tangible components contained in the analyte based upon the first and second measured data, with the first and second parameters being set as two axes of the two-dimensional distribution chart, sets an area on the two-dimensional distribution chart, and forms a frequency distribution chart with respect to tangible components belonging to the area, with the first parameter being set as an axis of the frequency distribution chart is disclosed.

Abstract: In one embodiment, the invention is a method and apparatus for selecting voltage and frequency levels for use in at-speed testing. One embodiment of a method for selecting a set of test conditions with which to test an integrated circuit chip includes formulating a statistical optimization problem and obtaining a solution to the statistical optimization problem, where the solution is the set of test conditions.

Abstract: A method for visualizing data in a population of data includes steps of extracting a subject value from a population of data and defining points of interest in the population of data for comparison to the subject value, where the points of interest representing a scale having a minimum value and a maximum value. A target point of interest is selected. The scale is mapped to a graphic gauge display, wherein, points of interest are visually indicated on the graphic display, end points of the graphic gauge display correspond to the minimum value and the maximum value, and the target point of interest is visually indicated at a center of the graphic gauge display. Finally, the subject value is indicated on the graphic gauge display.

Abstract: A method and apparatus are provided for incrementally tracking quantiles in the presence of multiple record types. A method for performing incremental quantile tracking includes receiving a first data record of a first record type and a second data record of a second record type, and updating a quantile probability for a quantile value, based on the first record type of the first data record and the second record type of the second data record, to obtain a new quantile probability for the quantile value.

Abstract: Methods and devices for determining a noise variance of an axis of a gyroscope are described. In one aspect, the method includes: representing a plurality of gyroscope readings for the axis in a histogram, the histogram including a plurality of bins associated with respective ranges; determining a bias for the axis of the gyroscope by identifying a concentration of the gyroscope readings within the histogram; and determining a noise variance for the axis of the gyroscope based on the histogram and based on the identified concentration of gyroscope readings.

Abstract: A method and a device for determining a statistical parameter for all frequencies of a frequency distribution of signal levels of a test signal registered respectively in several observation intervals counts the frequency of the signal level of the test signal measured in each case within the respective signal-level range and at the respective value of the time or frequency raster of the frequency distribution from new within every observation interval, and buffers it for display on a display device. After every observation interval, for every signal-level range and every value of the time or frequency raster of the frequency distribution, the respective statistical parameter from the respective, newly-buffered frequency and all respective frequencies measured and buffered at earlier observation intervals is determined and buffered.

Abstract: In one embodiment, a system for generating a statistical analysis output is disclosed. The system receives and processes input from a user to perform statistical analysis and generate an output. The input includes at least one statistical variable from a plurality of statistical variables in a dataset, statistical modules adopted for analysis, and output formats.

Abstract: A map generation apparatus includes an acquisition unit, a classification unit, a tentative map generation unit and a map generation unit. The acquisition unit acquires information which is a target of an analysis process. The classification unit classifies the acquired information into a plurality of types. The tentative map generation unit selects the types provided by the classifying one by one as a type in question to generate tentative map information of the information belonging to the type in question, based on (i) the information belonging to the type in question and (ii) representative information that represents at least one type other than the type in question. The map generation unit generates a map image based on the tentative map information generated for the respective types.

Abstract: A method maintains a multidimensional histogram for a data array having a data array size, the method having a processing time substantially less than proportional to the data array size. The method involves receiving a data update that indicates a change to data in the data array; with the data update, updating an intermediate data structure having a size substantially smaller than the data array size, so that the updated intermediate data structure remains an at-least-approximate representation of the data in the data array as changed by the data update; collecting a number of substantially-largest-coefficient linear combinations of then-current data, the number being small compared with the data array size; and forming the multidimensional histogram as a histogram to an intermediate data array re synthesized from the collected linear combinations.

Abstract: A system and method, implemented on a computer, for determining the uncertainty of soft-data debiasing of property distributions of spatially correlated reservoir data are provided. The method includes inputting, into the computer, soft-data at a plurality of spatial locations on a grid and hard-data at a plurality of location along well paths that intersect the grid. Each location of the hard-data is collocated with soft-data values of one or more types.

Abstract: A rule-based verification testing methodology automates the process and allows for field deployment of verification testing instrumentation. A rule-based chemical monitoring methodology automates the verification of a chemical being monitored, as well as the instrument and a sample path, increasing the confidence in the verification process. In both methods, at least Raman spectra of a sample are captured, and compared to a model that is based on reference data. Predetermined, flexible, parameterized rules control the comparison. Additional physical properties, such as color and size, may also be compared (also controlled by predetermined rules).

Abstract: The invention relates to a method for analyzing the output signal of a silicon drift detector (SDD). A SDD is used for detecting X-rays emitted by a sample as a result of impinging radiation. The signal of a SDD comprises a number of randomly spaced steps, in which the step height is a function of the energy of the detected X-ray photon. The variance in step height is a function of the averaging time that can be used to determine the plateau between steps: averaging over a short interval results in more uncertainty of the plateau value than a long interval. By according a weight factor, a function of the variance such that a step with low variance (high reliability) is associated with a larger weight factor than a step with high variance (low reliability), measurement values with a low variance are emphasized. This results in better resolved spectra.

Abstract: The present invention relates to a method and device for classifying an activity of an object, the method comprising: receiving a sound signal from a sensor, determining type of sound based on said sound signal, and determining said activity based on said type of sound.

Abstract: A method for obtaining information about an unknown neutron source or an unknown material interacting with a known neutron source comprises the steps of: (a) providing a radiation detector capable of delivering a neutron energy information allowing the production of response histogram(s) as a function of neutron energy, (b) measuring with said radiation detector neutrons being emitted from said unknown neutron source or from said unknown material, (c) deriving from said measured neutrons a neutron energy spectrum, especially in form of a histogram, (d) normalizing said energy spectrum or histogram relative to a parameter or set of parameters derived from the measurement of a different variable, (e) comparing said normalized energy spectrum or histogram with known energy spectra or histograms, and (f) drawing conclusions on the basis of said comparison about the nature of the unknown neutron source or unknown material.

Abstract: A method for analyzing spectrometric measurements, said measurements C={c1, . . . , cr} being organized in a histogram, said histogram being made up of accumulation channels, a channel j corresponding to an energy interval Bj, comprises at least three processing steps. A first step determines, for each accumulation channel j, distributions p representative of the amplitude and Z representative of the position of the Dirac pulses that make up the normalized spectrum of peaks as well as distributions q representative of the Pólya tree characterizing the normalized background spectrum, said elements being obtained by Gibbs sampling. A second step detects significant channels, said detection being performed by application of a Kolmogorov-Smirnov test for each accumulation channel of the histogram on the basis of the results of the first step.

Abstract: A system and method for automatic modal parameter extraction in structural dynamics analysis are disclosed. In one embodiment, a stabilization diagram of a structure is obtained using a frequency domain parameter extraction technique. The stabilization diagram is a graph of measured transfer functions which include stable poles of the structure for each modal order versus frequencies which include modal frequencies of each stable pole. Further, a user is allowed to input user modal parameters, such as a maximum damping ratio, maximum number of stable poles to be selected from the stabilization diagram, and minimum separation in frequency between consecutive stable poles. Furthermore, stable poles having a damping ratio less than or equal to the maximum damping ratio are obtained. A histogram having bins, with a width equal to the minimum separation in frequency, is obtained. Also, the modal parameter of the structure is automatically extracted using the histogram.

Abstract: A sensor for the measurement of distances has a transmitter to transmit a signal at presettable transmission times and a receiver for the reception of the signal remitted in a monitored zone, wherein the received signals are accumulated in a histogram over a plurality of measurement periods to determine the reception time from the histogram and thus the signal transit time. The reception time is determined by an interpolation and thus with a better time resolution than that of the histogram. To facilitate the interpolation, transmission times are preset over the plurality of measurement periods in accordance with a distribution such that the time position of the reception time varies within the histogram over the plurality of measurement periods.

Abstract: An RF test and measurement device, including a front end for receiving a time-varying signal and a real-time engine for generating digital frequency domain spectrums based on the time-varying signal. The device also includes a memory subsystem containing a frequency domain bitmap which is updated through sequential receipt and storage of the digital frequency domain spectrums. The real time engine is further configured to monitor the frequency domain bitmap for occurrence of a signal characteristic, and in response to detection of the signal characteristic, cause a capture of the time-varying signal into a storage location of the RF test and measurement device.

Abstract: A “density trace” according to an embodiment of the present invention is formed by measuring the density of each column of a frequency domain bitmap above a user-specified “amplitude threshold.” The density of each column equals the sum of the densities of all of the pixels in the column that are above the amplitude threshold divided by the sum of the densities of all of the pixels in the column. A density trace provides a convenient way to define and represent the occupancy for a large number of columns, and also allows density data to be quickly transmitted from one instrument or computer to another. In some embodiments, a density trace is incorporated into a trigger detector of a test and measurement instrument and used to generate a trigger signal. The trigger detector compares the density trace to a user-specified “density threshold” and generates the trigger signal when the value of any point of the density trace violates the density threshold.

Abstract: A method of determining a parameter of an object using penetrating radiation such as X-rays. The parameter of the object could be weight or mass or volume. The method comprises the step of passing the penetrating radiation through the object; determining a first value derived from the total energy of penetrating radiation absorbed by the object; determining a second value related to the mean energy per unit area of penetrating radiation absorbed by the object and determining the parameter from the first and second values. An algorithm representing a proportionality relationship is derived from the first and second value. The parameter is determined by establishing an exponential relationship to an amount derived from the algorithm.

Abstract: A method of method of manufacturing an integrated circuit. The method comprises performing an electromigration reliability rule-check for at least one of via node of an integrated circuit, including: calculating a net effective current density of the via node. Calculating the net effective current density including determining a sum of effective current densities for individual leads that are coupled to the via node. Leads configured to transfer electrons away from said via node are assigned a positive polarity of the effective current density. Leads configured to transfer electrons towards the via node are assigned a negative polarity of the effective current density.

Abstract: An embodiment is a method for de-embedding. The method comprises forming a primary structure in a semiconductor chip and forming an auxiliary structure in the semiconductor chip. The auxiliary structure replicates a first portion of the primary structure. The method further comprises determining a transmission matrix for each of the primary structure and the auxiliary structure based on measurements and extracting a transmission matrix of a first component of the primary structure by determining a product of the transmission matrix of the primary structure and an inverse of the transmission matrix of the auxiliary structure.

Abstract: Physical models of wells are used to determine rate and phase composition for fluid produced from or injected into the wells on a near real time and continuous basis. The method can be used to alert operators or others of conditions in a well or field to permit more immediate response. The method can be more tolerant of sensor faults, sensor drift, anomalous data or other occurrences which could otherwise lead to incorrect output. More than one model can be used to permit a hierarchy of calculation such that the rate and phase determination is more tolerant of anomalous data. The calculated rate and phase values from one or more wells can be reconciled against facility data.

Abstract: Impulse noise from nearby or intense electrical sources can disrupt communications over digital subscriber lines (DSL). The characterization of the nature, timing and length of impulse noise sources present on a DSL loop is a critical first step in mitigating the effect of impulse noise on DSL communications. DSL standards provide histograms for impulse length and inter-arrival time of impulses. These histograms can be used to derive the nature, maximum frequency and other statistics related to impulse noise on a DSL line.

Abstract: Methods, devices, and systems are provided for monitoring and reporting various metrics associated with objects of interest. The present invention is adapted to monitor objects of interest, such as contact center agents, to determine whether a triggering event has occurred and, if so, report metrics associated with the object of interest in a dynamic, customized, and real-time fashion.

Abstract: Methods and apparatus for relative pitch tracking of multiple arbitrary sounds. A probabilistic method for pitch tracking may be implemented as or in a pitch tracking module. A constant-Q transform of an input signal may be decomposed to estimate one or more kernel distributions and one or more impulse distributions. Each kernel distribution represents a spectrum of a particular source, and each impulse distribution represents a relative pitch track for a particular source. The decomposition of the constant-Q transform may be performed according to shift-invariant probabilistic latent component analysis, and may include applying an expectation maximization algorithm to estimate the kernel distributions and the impulse distributions. When decomposing, a prior, e.g. a sliding-Gaussian Dirichlet prior or an entropic prior, and/or a temporal continuity constraint may be imposed on each impulse distribution.

Abstract: A correlation image detector is provided that co-registers sonar images by finding peaks in correlation images. To obtain the peaks, the mean of the absolute values of the correlation coefficients in the correlation image is found and the Rayleigh parameter is determined from the mean. Based on the Rayleigh parameter, an appropriate threshold can be determined using a desired probability of false detection. The threshold can be chosen such that the probability of a single false detection over the expected life of the mission for which correlation detection is being performed is extremely low, e.g., one in a million. The peak value in the image is determined and a correlation is considered detected when the peak value is greater than the product of the threshold and the Rayleigh parameter. If a detection occurs, the correlation image detector returns the transformation that co-registers the two images.

Abstract: Histograms formed based on samples of a population, such as histograms created from random page-level samples of a data store, are intelligently scaled to histograms estimating distribution of the entire population of the data store. As an optional optimization, where a threshold number of duplicate samples are observed during page-level sampling, the number of distinct values in the overall population data is presumed to be the number of distinct values in the sample data. Also, during estimation of distinct values of an overall population, a “Chao” estimator can optionally be utilized as a lower bound of the estimate. The resulting estimate is then used when scaling, which can take domain knowledge of the data being scaled into account in order to prevent scaled estimates from exceeding the limits of the domain.

Abstract: According to one embodiment, each monitoring device acquires monitoring variables from an observation target, generates an individual multidimensional distribution of the monitoring variables, and transmits the individual multidimensional distribution to a server. The server generates sampling data using the individual multidimensional distribution received from each monitoring device, generates an overall multidimensional distribution of the monitoring variables using the sampling data, determines a statistical model of each index using the overall multidimensional distribution, generates an overall index multidimensional distribution of indexes using the statistical model and the overall multidimensional distribution, and transmits the overall index multidimensional distribution and statistical models to each monitoring device.

Abstract: The adaptive contrast enhancer uses an adaptive histogram equalization-based approach to improve contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three regions that are equalized independently of the other. The equalized values are averaged with the original pixel values with a weighting factor that depends on the shape of the histogram. The weighting factors can be also chosen differently for the three regions to enhance the darker regions more than the brighter ones. The statistics calculated from one frame are used to enhance the next frame such that frame buffers are not required. Many of the calculations are done in the inactive time between two frames.

Abstract: A method of processing data associated with fluorescent emissions from a microfluidic device. The method includes performing an auto-focus process associated with a first image of the microfluidic device and performing an auto-exposure process associated with the first image of the microfluidic device. The method also includes capturing a plurality of images of the microfluidic device. The plurality of images are associated with a plurality of thermal cycles. The method further includes performing image analysis of the plurality of captured images to determine a series of optical intensities and performing data analysis of the series of optical intensities to provide a series of change in threshold values.

Abstract: A method maintains a multidimensional histogram for a data array having a data array size, the method having a processing time substantially less than proportional to the data array size. The method involves receiving a data update that indicates a change to data in the data array; with the data update, updating an intermediate data structure having a size substantially smaller than the data array size, so that the updated intermediate data structure remains an at-least-approximate representation of the data in the data array as changed by the data update; collecting a number of substantially-largest-coefficient linear combinations of then-current data, the number being small compared with the data array size; and forming the multidimensional histogram as a histogram to an intermediate data array re synthesized from the collected linear combinations.

Abstract: There is provided a deterministic component model identifying apparatus for determining a type of a deterministic component contained in a probability density function supplied thereto.

Abstract: The invention relates to a method and apparatus for characterizing the imperfections of the skin. The apparatus comprises: a) a digital camera allowing the taking of at least one digital image of at least one determined skin zone, the said image being defined by a multiplicity of pixels, that is transmitted to a digital image processing device; b) means of splitting the digital image into three color planes: red, green, blue, termed R, G, B, with the aid of the said image processing device; c) means of extracting a single of these planes; d) means of calculating at least one of the following parameters on the basis of this plane: the mean grey level of the image; the surface area of the imperfections of the skin of the said image, some of which are related to aging, such as wrinkles, lines, spots, dark circles, pigmentary imperfections, slackening or loosening zones; the variance of the grey levels over the set of pixels of the image as parameter representative of the homogeneity of the skin.

Abstract: A method for detecting errors in genetic sequence assemblies including defining an assembly (A) of a sequence of genetic data, collecting read data into a library of reads (L), plotting histograms of sizes or reads versus a number of reads per size, normalizing a distribution (D) with a coverage C to obtain D? that has a mean (?) and standard deviation (?) and reserve positions (i) not used to obtain D?, collecting subset of reads (Si ? L) using A and D?, computing mean (?i) and standard deviation (?ci·?i) using Si, outputting results to user on a display.

Abstract: A method includes passing a lot through a production process and evaluating a statistical quality of the production process. Additionally, the method includes calculating an advanced process control (APC) recipe parameter adjustment (RPA) distribution value and determining if sampling is indicated. Furthermore, the method includes, if sampling is indicated, performing a measurement process of the lot.

Abstract: The present invention relates to an iterative method and an apparatus for distribution-independent detection of intermediate outliers and outliers in the distribution tail of streamed data. A considerable sequence of streamed data is sequentially read and subsequently assigned to matching bins. The bins are adaptively allocated when, where and if they are needed. Each bin range expands concurrently with the distribution range of the accumulating items assigned to the bin, adding a margin. For every N'th read item, overlapping or adjoining bins are merged, whereupon the bins are assessed for insider preclusion. Information regarding outliers is extracted from the remaining outlier bins when the entire data sequence has been processed.

Abstract: Apparatus and method for detecting micro-calcifications in mammograms using novel algorithms and stochastic resonance noise is provided, where a suitable dose of noise is added to the abnormal mammograms such that the performance of a suboptimal lesion detector is improved without altering the detector's parameters. A stochastic resonance noise-based detection approach is presented to improve suboptimal detectors which suffer from model mismatch due to the Gaussian assumption. Furthermore, a stochastic resonance noise-based detection enhancement framework is presented to deal with more general model mismatch cases.

Abstract: A method and system for determining blended histogram shape identifiers. A blended set of possible histogram shapes is created by selecting generated histogram shapes from a first generated set of all possible histogram shapes generated with a first method that include highest order rankings from a first pre-determined ranking order and generated histogram shapes from a second set of all possible histogram shapes generated with a second method that include highest rankings from a second pre-determined ranking order. A graphical histogram is displayed using the third blended set of all possible histogram shapes, thereby creating the graphical histogram with a new set of all possible histogram shapes based on an aggregate rakings order of histogram shapes generated with the first and second methods.