-
% 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.
-
-
-
-
-
-
-
-
-
上一篇:[整理]Matlab工具箱总汇.
下一篇:英语圣诞节小报图片