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1、%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
2、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 est
3、imation.%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.
4、%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 dens
5、ity.%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).%e
6、vcdf-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.%norm
7、cdf-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 f
8、unction.%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.%geo
9、inv-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 cumula
10、tive 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
11、 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-
12、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
13、 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.%n
14、ormrnd-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
15、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 varianc
16、e.%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 var
17、iance.%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 me
18、an 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 binomi
19、al 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.%cross
20、tab-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-Maximu
21、m 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
22、(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
23、-Interactive tool for analysis of covariance.%dummyvar-Dummy-variable coding.%friedman-Friedmans 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).%lev
24、erage-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.%pol
25、yconf-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-R
26、obust 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
27、fitting.%nlintool-Interactive 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).%ca
28、ndgen-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 fa
29、ctorial design.%fullfact-Mixed-level full-factorial design.%hadamard-Hadamard matrices(orthogonal arrays).%lhsdesign-Latin hypercube sampling design.%lhsnorm-Latin hypercube multivariate normal sample.%rowexch-D-optimal design(row exchange algorithm).%Statistical Process Control(SPC).%capable-Capabi
30、lity indices.%capaplot-Capability plot.%ewmaplot-Exponentially weighted moving average plot.%histfit-Histogram with superimposed normal density.%normspec-Plot normal density between specification limits.%schart-S chart for monitoring variability.%xbarplot-Xbar chart for monitoring the mean.%Multivar
31、iate Statistics.%Cluster Analysis.%cophenet-Cophenetic coefficient.%cluster-Construct clusters from LINKAGE output.%clusterdata-Construct clusters from data.%dendrogram-Generate dendrogram plot.%inconsistent-Inconsistent values of a cluster tree.%kmeans-k-means clustering.%linkage-Hierarchical clust
32、er information.%pdist-Pairwise distance between observations.%silhouette-Silhouette plot of clustered data.%squareform-Square matrix formatted distance.%Dimension Reduction Techniques.%factoran-Factor analysis.%pcacov-Principal components from covariance matrix.%pcares-Residuals from principal compo
33、nents.%princomp-Principal components analysis from raw data.%rotatefactors-Rotation of FA or PCA loadings.%Plotting.%andrewsplot-Andrews plot for multivariate data.%biplot-Biplot of variable/factor coefficients and scores.%glyphplot-Plot stars or Chernoff faces for multivariate data.%gplotmatrix-Mat
34、rix of scatter plots grouped by a common variable.%parallelcoords-Parallel coordinates plot for multivariate data.%Other Multivariate Methods.%barttest-Bartletts test for dimensionality.%canoncorr-Cannonical correlation analysis.%cmdscale-Classical multidimensional scaling.%classify-Linear discrimin
35、ant analysis.%mahal-Mahalanobis distance.%manova1-One-way multivariate analysis of variance.%mdscale-Metric and non-metric multidimensional scaling.%procrustes-Procrustes analysis.%Decision Tree Techniques.%treedisp-Display decision tree.%treefit-Fit data using a classification or regression tree.%t
36、reeprune-Prune decision tree or creating optimal pruning sequence.%treetest-Estimate error for decision tree.%treeval-Compute fitted values using decision tree.%Hypothesis Tests.%ranksum-Wilcoxon rank sum test(independent samples).%signrank-Wilcoxon sign rank test(paired samples).%signtest-Sign test
37、(paired samples).%ztest-Z test.%ttest-One sample t test.%ttest2-Two sample t test.%Distribution Testing.%jbtest-Jarque-Bera test of normality%kstest-Kolmogorov-Smirnov test for one sample%kstest2-Kolmogorov-Smirnov test for two samples%lillietest-Lilliefors test of normality%Nonparametric Functions.
38、%friedman-Friedmans test(nonparametric two-way anova).%kruskalwallis-Kruskal-Wallis test(nonparametric one-way anova).%ksdensity-Kernel smoothing density estimation.%ranksum-Wilcoxon rank sum test(independent samples).%signrank-Wilcoxon sign rank test(paired samples).%signtest-Sign test(paired sampl
39、es).%Hidden Markov Models.%hmmdecode-Calculate HMM posterior state probabilities.%hmmestimate-Estimate HMM parameters given state information.%hmmgenerate-Generate random sequence for HMM.%hmmtrain-Calculate maximum likelihood estimates for HMM parameters.%hmmviterbi-Calculate most probable state pa
40、th for HMM sequence.%Statistical Plotting.%andrewsplot-Andrews plot for multivariate data.%biplot-Biplot of variable/factor coefficients and scores.%boxplot-Boxplots of a data matrix(one per column).%cdfplot-Plot of empirical cumulative distribution function.%ecdfhist-Histogram calculated from empir
41、ical cdf.%fsurfht-Interactive contour plot of a function.%gline-Point,drag and click line drawing on figures.%glyphplot-Plot stars or Chernoff faces for multivariate data.%gname-Interactive point labeling in x-y plots.%gplotmatrix-Matrix of scatter plots grouped by a common variable.%gscatter-Scatte
42、r plot of two variables grouped by a third.%hist-Histogram(in MATLAB toolbox).%hist3-Three-dimensional histogram of bivariate data.%lsline-Add least-square fit line to scatter plot.%normplot-Normal probability plot.%parallelcoords-Parallel coordinates plot for multivariate data.%probplot-Probability
43、 plot.%qqplot-Quantile-Quantile plot.%refcurve-Reference polynomial curve.%refline-Reference line.%surfht-Interactive contour plot of a data grid.%wblplot-Weibull probability plot.%Statistics Demos.%aoctool-Interactive tool for analysis of covariance.%disttool-GUI tool for exploring probability dist
44、ribution functions.%polytool-Interactive graph for prediction of fitted polynomials.%randtool-GUI tool for generating random numbers.%rsmdemo-Reaction simulation(DOE,RSM,nonlinear curve fitting).%robustdemo-Interactive tool to compare robust and least squares fits.%File Based I/O.%tblread-Read in da
45、ta in tabular format.%tblwrite-Write out data in tabular format to file.%tdfread-Read in text and numeric data from tab-delimitted file.%caseread-Read in case names.%casewrite-Write out case names to file.%Utility Functions.%combnk-Enumeration of all combinations of n objects k at a time.%grp2idx-Co
46、nvert grouping variable to indices and array of names.%hougen-Prediction function for Hougen model(nonlinear example).%statget-Get STATS options parameter value.%statset-Set STATS options parameter value.%tiedrank-Compute ranks of sample,adjusting for ties.%zscore-Normalize matrix columns to mean 0,
47、variance 1.%Other Utility Functions.%betalik1-Computation function for negative beta log-likelihood.%boxutil-Utility function for boxplot.%cdfcalc-Computation function for empirical cdf.%dfgetset-Getting and setting dfittool parameters.%dfswitchyard-Invoking private functions for dfittool.%distchck-
48、Argument checking for cdf,pdf and inverse functions.%export2wsdlg-Dialog to export data from gui to workspace.%iscatter-Grouped scatter plot using integer grouping.%meansgraph-Interactive means graph for multiple comparisons.%statdisptable-Display table of statistics.%HTML Demo Functions.%classdemo-
49、Classification demo.%clusterdemo-Cluster analysis demo.%cmdscaledemo-Classical multidimensional scaling demo.%copulademo-Copula simulation demo.%customdist1demo-Custom distribution fitting demo.%customdist2demo-Custom distribution fitting demo.%factorandemo-Factor analysis demo.%glmdemo-Generalized
50、linear model demo.%gparetodemo-Generalized Pareto fitting demo.%mdscaledemo-Non-classical multidimensional scaling demo.%mvplotdemo-Multidimensional data plotting demo.%samplesizedemo-Sample size calculation demo.%survivaldemo-Survival data analysis demo.%Obsolete Functions%weibcdf-Weibull cdf,old p