matlab 统计工具箱函数.docx

1、matlab 统计工具箱函数% 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 - L

2、ognormal 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 estimatio

3、n. % 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. %

4、 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

5、 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 Distri

6、bution 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

7、. % 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

8、. % 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. % ch

9、i2inv - 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 functi

10、on. % 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. % ncfin

11、v - 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 cumulativ

12、e 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

13、 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 ran

14、dom 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

15、 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 s

16、pecified 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. % % Stati

17、stics. % 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 - Geome

18、tric 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 varia

19、nce. % 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. % % L

20、ikelihood 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

21、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 in

22、tervals. % 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 -

23、 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 ignorin

24、g 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 p

25、lot 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 - Friedmans test (nonparametric two-way anova)

26、. % 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-ne

27、gative 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

28、 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 r

29、esponse 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

30、 graphical tool for prediction in nonlinear models. % nlpredci - Confidence intervals for prediction. % nlparci - Confidence intervals for parameters. % % Design of Experiments (DOE). % bbdesign - Box-Behnken design. % candexch - D-optimal design (row exchange algorithm for candidate set). % candgen

31、 - Candidates set for D-optimal design generation. % ccdesign - Central composite design. % cordexch - D-optimal design (coordinate exchange algorithm). % daugment - Augment D-optimal design. % dcovary - D-optimal design with fixed covariates. % ff2n - Two-level full-factorial design. % fracfact - Two-level fractional factorial design. % fullfact - Mixed-level full-factorial design. % hadamard - Hadamard matrices (orthogonal arrays). % lhsdesign - Latin hypercube sampling design. % lhsnorm - Latin hypercube multivariate nor