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matlab 统计工具箱函数

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2021-02-28 08:23
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2021年2月28日发(作者:secondary)



% Statistics Toolbox



% betafit - Beta parameter estimation.



% binofit - Binomial parameter estimation.



% dfittool - Distribution fitting tool.



% evfit - Extreme value parameter estimation.



% expfit - Exponential parameter estimation.



% gamfit - Gamma parameter estimation.



% lognfit - Lognormal parameter estimation.



% mle - Maximum likelihood estimation (MLE).



% mlecov - Asymptotic covariance matrix of MLE.



% nbinfit - Negative binomial parameter estimation.



% normfit - Normal parameter estimation.



% poissfit - Poisson parameter estimation.



% raylfit - Rayleigh parameter estimation.



% unifit - Uniform parameter estimation.



% wblfit - Weibull parameter estimation.



%



% Probability density functions (pdf).



% betapdf - Beta density.



% binopdf - Binomial density.



% chi2pdf - Chi square density.



% evpdf - Extreme value density.



% exppdf - Exponential density.



% fpdf - F density.



% gampdf - Gamma density.



% geopdf - Geometric density.



% hygepdf - Hypergeometric density.



% lognpdf - Lognormal density.



% mvnpdf - Multivariate normal density.



% nbinpdf - Negative binomial density.



% ncfpdf - Noncentral F density.



% nctpdf - Noncentral t density.



% ncx2pdf - Noncentral Chi-square density.



% normpdf - Normal (Gaussian) density.



% pdf - Density function for a specified distribution.



% poisspdf - Poisson density.



% raylpdf - Rayleigh density.



% tpdf - T density.



% unidpdf - Discrete uniform density.



% unifpdf - Uniform density.



% wblpdf - Weibull density.



%



% Cumulative Distribution functions (cdf).



% betacdf - Beta cdf.





% binocdf - Binomial cdf.



% cdf - Specified cumulative distribution function.



% chi2cdf - Chi square cdf.



% ecdf - Empirical cdf (Kaplan-Meier estimate).



% evcdf - Extreme value cumulative distribution function.



% expcdf - Exponential cdf.



% fcdf - F cdf.



% gamcdf - Gamma cdf.



% geocdf - Geometric cdf.



% hygecdf - Hypergeometric cdf.



% logncdf - Lognormal cdf.



% nbincdf - Negative binomial cdf.



% ncfcdf - Noncentral F cdf.



% nctcdf - Noncentral t cdf.



% ncx2cdf - Noncentral Chi-square cdf.



% normcdf - Normal (Gaussian) cdf.



% poisscdf - Poisson cdf.



% raylcdf - Rayleigh cdf.



% tcdf - T cdf.



% unidcdf - Discrete uniform cdf.



% unifcdf - Uniform cdf.



% wblcdf - Weibull cdf.



%



% Critical Values of Distribution functions.



% betainv - Beta inverse cumulative distribution function.



% binoinv - Binomial inverse cumulative distribution function.



% chi2inv - Chi square inverse cumulative distribution function.



% evinv - Extreme value inverse cumulative distribution function.



% expinv - Exponential inverse cumulative distribution function.



% finv - F inverse cumulative distribution function.



% gaminv - Gamma inverse cumulative distribution function.



% geoinv - Geometric inverse cumulative distribution function.



% hygeinv - Hypergeometric inverse cumulative distribution function.



% icdf - Specified inverse cdf.



% logninv - Lognormal inverse cumulative distribution function.



% nbininv - Negative binomial inverse distribution function.



% ncfinv - Noncentral F inverse cumulative distribution function.



% nctinv - Noncentral t inverse cumulative distribution function.



% ncx2inv - Noncentral Chi-square inverse distribution function.



% norminv - Normal (Gaussian) inverse cumulative distribution function.



% poissinv - Poisson inverse cumulative distribution function.



% raylinv - Rayleigh inverse cumulative distribution function.



% tinv - T inverse cumulative distribution function.



% unidinv - Discrete uniform inverse cumulative distribution function.





% unifinv - Uniform inverse cumulative distribution function.



% wblinv - Weibull inverse cumulative distribution function.



%



% Random Number Generators.



% betarnd - Beta random numbers.



% binornd - Binomial random numbers.



% chi2rnd - Chi square random numbers.



% evrnd - Extreme value random numbers.



% exprnd - Exponential random numbers.



% frnd - F random numbers.



% gamrnd - Gamma random numbers.



% geornd - Geometric random numbers.



% hygernd - Hypergeometric random numbers.



% iwishrnd - Inverse Wishart random matrix.



% lognrnd - Lognormal random numbers.



% mvnrnd - Multivariate normal random numbers.



% mvtrnd - Multivariate t random numbers.



% nbinrnd - Negative binomial random numbers.



% ncfrnd - Noncentral F random numbers.



% nctrnd - Noncentral t random numbers.



% ncx2rnd - Noncentral Chi- square random numbers.



% normrnd - Normal (Gaussian) random numbers.



% poissrnd - Poisson random numbers.



% randg - Gamma random numbers (unit scale).



% random - Random numbers from specified distribution.



% randsample - Random sample from finite population.



% raylrnd - Rayleigh random numbers.



% trnd - T random numbers.



% unidrnd - Discrete uniform random numbers.



% unifrnd - Uniform random numbers.



% wblrnd - Weibull random numbers.



% wishrnd - Wishart random matrix.



%



% Statistics.



% betastat - Beta mean and variance.



% binostat - Binomial mean and variance.



% chi2stat - Chi square mean and variance.



% evstat - Extreme value mean and variance.



% expstat - Exponential mean and variance.



% fstat - F mean and variance.



% gamstat - Gamma mean and variance.



% geostat - Geometric mean and variance.



% hygestat - Hypergeometric mean and variance.



% lognstat - Lognormal mean and variance.





% nbinstat - Negative binomial mean and variance.



% ncfstat - Noncentral F mean and variance.



% nctstat - Noncentral t mean and variance.



% ncx2stat - Noncentral Chi-square mean and variance.



% normstat - Normal (Gaussian) mean and variance.



% poisstat - Poisson mean and variance.



% raylstat - Rayleigh mean and variance.



% tstat - T mean and variance.



% unidstat - Discrete uniform mean and variance.



% unifstat - Uniform mean and variance.



% wblstat - Weibull mean and variance.



%



% Likelihood functions.



% betalike - Negative beta log-likelihood.



% evlike - Negative extreme value log- likelihood.



% explike - Negative exponential log-likelihood.



% gamlike - Negative gamma log- likelihood.



% lognlike - Negative lognormal log-likelihood.



% nbinlike - Negative likelihood for negative binomial distribution.



% normlike - Negative normal likelihood.



% wbllike - Negative Weibull log-likelihood.



%



% Descriptive Statistics.



% bootstrp - Bootstrap statistics for any function.



% corr - Linear or rank correlation coefficient.



% corrcoef - Linear correlation coefficient with confidence intervals.



% cov - Covariance.



% crosstab - Cross tabulation.



% geomean - Geometric mean.



% grpstats - Summary statistics by group.



% harmmean - Harmonic mean.



% iqr - Interquartile range.



% kurtosis - Kurtosis.



% mad - Median Absolute Deviation.



% mean - Sample average (in MATLAB toolbox).



% median - 50th percentile of a sample.



% moment - Moments of a sample.



% nanmax - Maximum ignoring NaNs.



% nanmean - Mean ignoring NaNs.



% nanmedian - Median ignoring NaNs.



% nanmin - Minimum ignoring NaNs.



% nanstd - Standard deviation ignoring NaNs.



% nansum - Sum ignoring NaNs.



% nanvar - Variance ignoring NaNs.





% prctile - Percentiles.



% quantile - Quantiles.



% range - Range.



% skewness - Skewness.



% std - Standard deviation (in MATLAB toolbox).



% tabulate - Frequency table.



% trimmean - Trimmed mean.



% var - Variance (in MATLAB toolbox).



%



% Linear Models.



% addedvarplot - Created added-variable plot for stepwise regression.



% anova1 - One-way analysis of variance.



% anova2 - Two- way analysis of variance.



% anovan - n-way analysis of variance.



% aoctool - Interactive tool for analysis of covariance.



% dummyvar - Dummy-variable coding.



% friedman - Friedman's test (nonparametric two-way anova).



% glmfit - Generalized linear model fitting.



% glmval - Evaluate fitted values for generalized linear model.



% kruskalwallis - Kruskal-Wallis test (nonparametric one-way anova).



% leverage - Regression diagnostic.



% lscov - Least-squares estimates with known covariance matrix.



% lsqnonneg - Non- negative least-squares.



% manova1 - One-way multivariate analysis of variance.



% manovacluster - Draw clusters of group means for manova1.



% multcompare - Multiple comparisons of means and other estimates.



% polyconf - Polynomial evaluation and confidence interval estimation.



% polyfit - Least-squares polynomial fitting.



% polyval - Predicted values for polynomial functions.



% rcoplot - Residuals case order plot.



% regress - Multivariate linear regression.



% regstats - Regression diagnostics.



% ridge - Ridge regression.



% robustfit - Robust regression model fitting.



% rstool - Multidimensional response surface visualization (RSM).



% stepwise - Interactive tool for stepwise regression.



% stepwisefit - Non-interactive stepwise regression.



% x2fx - Factor settings matrix (x) to design matrix (fx).



%



% Nonlinear Models.



% nlinfit - Nonlinear least-squares data fitting.



% nlintool - Interactive graphical tool for prediction in nonlinear models.



% nlpredci - Confidence intervals for prediction.



% nlparci - Confidence intervals for parameters.



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