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Double Precision Floating Point Numbers, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc data represented in double-precision floating-point format (64 bits)
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Journal: MethodsX

Article Title: Efficient algorithms for calculating the probability distribution of the sum of hypergeometric-distributed random variables

doi: 10.1016/j.mex.2021.101507

Figure Lengend Snippet: Legend for Table 1 .

Article Snippet: However, for mid-sized values of m ( 100 < m < 1000 ), the results of the algorithm by De Pril converge to zero due to the fact that ( f X i ( 0 ) ) m = 0 using standard settings of statistical software, i.e., double-precision floating point numbers (like in MATLAB, R,...) instead of variable-precision floating point numbers.

Techniques: Software