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Statistics
Statistic 函数
Statistic 函数
Table of Contents
stats_absolute_deviation
— Returns the absolute deviation of an array of values
stats_cdf_beta
— Calculates any one parameter of the beta distribution given values for the others
stats_cdf_binomial
— Calculates any one parameter of the binomial distribution given values for the others
stats_cdf_cauchy
— Calculates any one parameter of the Cauchy distribution given values for the others
stats_cdf_chisquare
— Calculates any one parameter of the chi-square distribution given values for the others
stats_cdf_exponential
— Calculates any one parameter of the exponential distribution given values for the others
stats_cdf_f
— Calculates any one parameter of the F distribution given values for the others
stats_cdf_gamma
— Calculates any one parameter of the gamma distribution given values for the others
stats_cdf_laplace
— Calculates any one parameter of the Laplace distribution given values for the others
stats_cdf_logistic
— Calculates any one parameter of the logistic distribution given values for the others
stats_cdf_negative_binomial
— Calculates any one parameter of the negative binomial distribution given values for the others
stats_cdf_noncentral_chisquare
— Calculates any one parameter of the non-central chi-square distribution given values for the others
stats_cdf_noncentral_f
— Calculates any one parameter of the non-central F distribution given values for the others
stats_cdf_noncentral_t
— Calculates any one parameter of the non-central t-distribution give values for the others
stats_cdf_normal
— Calculates any one parameter of the normal distribution given values for the others
stats_cdf_poisson
— Calculates any one parameter of the Poisson distribution given values for the others
stats_cdf_t
— Calculates any one parameter of the t-distribution given values for the others
stats_cdf_uniform
— Calculates any one parameter of the uniform distribution given values for the others
stats_cdf_weibull
— Calculates any one parameter of the Weibull distribution given values for the others
stats_covariance
— Computes the covariance of two data sets
stats_dens_beta
— Probability density function of the beta distribution
stats_dens_cauchy
— Probability density function of the Cauchy distribution
stats_dens_chisquare
— Probability density function of the chi-square distribution
stats_dens_exponential
— Probability density function of the exponential distribution
stats_dens_f
— Probability density function of the F distribution
stats_dens_gamma
— Probability density function of the gamma distribution
stats_dens_laplace
— Probability density function of the Laplace distribution
stats_dens_logistic
— Probability density function of the logistic distribution
stats_dens_normal
— Probability density function of the normal distribution
stats_dens_pmf_binomial
— Probability mass function of the binomial distribution
stats_dens_pmf_hypergeometric
— Probability mass function of the hypergeometric distribution
stats_dens_pmf_negative_binomial
— Probability mass function of the negative binomial distribution
stats_dens_pmf_poisson
— Probability mass function of the Poisson distribution
stats_dens_t
— Probability density function of the t-distribution
stats_dens_uniform
— Probability density function of the uniform distribution
stats_dens_weibull
— Probability density function of the Weibull distribution
stats_harmonic_mean
— Returns the harmonic mean of an array of values
stats_kurtosis
— Computes the kurtosis of the data in the array
stats_rand_gen_beta
— Generates a random deviate from the beta distribution
stats_rand_gen_chisquare
— Generates a random deviate from the chi-square distribution
stats_rand_gen_exponential
— Generates a random deviate from the exponential distribution
stats_rand_gen_f
— Generates a random deviate from the F distribution
stats_rand_gen_funiform
— Generates uniform float between low (exclusive) and high (exclusive)
stats_rand_gen_gamma
— Generates a random deviate from the gamma distribution
stats_rand_gen_ibinomial_negative
— Generates a random deviate from the negative binomial distribution
stats_rand_gen_ibinomial
— Generates a random deviate from the binomial distribution
stats_rand_gen_int
— Generates random integer between 1 and 2147483562
stats_rand_gen_ipoisson
— Generates a single random deviate from a Poisson distribution
stats_rand_gen_iuniform
— Generates integer uniformly distributed between LOW (inclusive) and HIGH (inclusive)
stats_rand_gen_noncentral_chisquare
— Generates a random deviate from the non-central chi-square distribution
stats_rand_gen_noncentral_f
— Generates a random deviate from the noncentral F distribution
stats_rand_gen_noncentral_t
— Generates a single random deviate from a non-central t-distribution
stats_rand_gen_normal
— Generates a single random deviate from a normal distribution
stats_rand_gen_t
— Generates a single random deviate from a t-distribution
stats_rand_get_seeds
— Get the seed values of the random number generator
stats_rand_phrase_to_seeds
— Generate two seeds for the RGN random number generator
stats_rand_ranf
— Generates a random floating point number between 0 and 1
stats_rand_setall
— Set seed values to the random generator
stats_skew
— Computes the skewness of the data in the array
stats_standard_deviation
— Returns the standard deviation
stats_stat_binomial_coef
— Returns a binomial coefficient
stats_stat_correlation
— Returns the Pearson correlation coefficient of two data sets
stats_stat_factorial
— Returns the factorial of an integer
stats_stat_independent_t
— Returns the t-value from the independent two-sample t-test
stats_stat_innerproduct
— Returns the inner product of two vectors
stats_stat_paired_t
— Returns the t-value of the dependent t-test for paired samples
stats_stat_percentile
— Returns the percentile value
stats_stat_powersum
— Returns the power sum of a vector
stats_variance
— Returns the variance