Abstract: A method of determining a microbiological risk level in food, comprising determining zero-inflated binomial (ZIB) distribution parameters (?, p); i) determining cumulative relative frequencies (fo, fi, f2, . .. , fx) for a number of occurrences (0, 1, 2, x) of defective samples; ii) calculating a vector of a sub-set of zero-inflation parameters (?) of k+1 elements according to; o/o=[0, 1* fo/k, 2*fo/ k, k*fo/k]; iii) calculating a vector of a sub-set of first parameters (?) based on the sub-set of zero-inflation parameter (?); iv) for the vector pairs (p, ?) in the sub-set of first parameters and the sub¬set of zero-inflation parameters, determining a square error between said cumulative relative frequencies and cumulative theoretical probabilities Px of having ?x occurrences over N samples for a ZIB distribution; v) determining the zero-inflation parameter lt) and the first parameter (p) as the vector pair providing the least square error.

Abstract: A method of determining a microbiological risk level in food, comprising determining zero-inflated binomial (ZIB) distribution parameters (?, p); i) determining cumulative relative frequencies (fo, fi, f2, . .. , fx) for a number of occurrences (0, 1, 2, x) of defective samples; ii) calculating a vector of a sub-set of zero-inflation parameters (?) of k+1 elements according to; o/o=[0, 1* fo/k, 2*fo/ k, k*fo/k]; iii) calculating a vector of a sub-set of first parameters (?) based on the sub-set of zero-inflation parameter (?); iv) for the vector pairs (p, ?) in the sub-set of first parameters and the sub¬set of zero-inflation parameters, determining a square error between said cumulative relative frequencies and cumulative theoretical probabilities Px of having ?x occurrences over N samples for a ZIB distribution; v) determining the zero-inflation parameter lt) and the first parameter (p) as the vector pair providing the least square error.