Appendix F Computational Statistics Toolbox - MAFIADOC.COM

Creating, pruning and displaying classification trees csgrowc csprunec cstreec csplotreec cspicktreec. Creating, analyzing and displaying clusters cshmeans.
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Appendix F Computational Statistics Toolbox

The Computational Statistics Toolbox can be downloaded from: http://www.infinityassociates.com http://lib.stat.cmu.edu. Please review the readme file for installation instructions and information on any recent changes.

TABLE F.1 Chapter 2 Functions: Probability Distributions Distribution PDF (p) / CDF (c)

M ATLAB Function

Beta

csbetap, csbetac

Binomial

csbinop, csbinoc

Chi-square

cschip, cschic

Exponential

csexpop, csexpoc

Gamma

csgammp, csgammc

Normal - univariate

csnormp, csnormc

Normal - multivariate

csevalnorm

Poisson

cspoisp, cspoisc

Continuous Uniform

csunifp, csunifc

Weibull

csweibp, csweibc

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Computational Statistics Handbook with MATLAB

TABLE F.2 Chapter 3 Functions: Statistics Purpose

M ATLAB Function

These functions are used to obtain parameter estimates for a distribution.

csbinpar csexpar csgampar cspoipar csunipar

These functions return the quantiles.

csbinoq csexpoq csunifq csweibq csnormq csquantiles

Other descriptive statistics

csmomentc cskewness cskurtosis csmoment csecdf

TABLE F.3 Chapter 4 Functions: Random Number Generation Distribution Beta

M ATLAB Function csbetarnd

Binomial

csbinrnd

Chi-square

cschirnd

Discrete Uniform

csdunrnd

Exponential

csexprnd

Gamma

csgamrnd

Multivariate Normal

csmvrnd

Poisson

cspoirnd

Points on a sphere

cssphrnd

© 2002 by Chapman & Hall/CRC

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TABLE F.4 Chapter 5 Functions: Exploratory Data Analysis Purpose Star Plot

MATLAB Function csstars

Stem-and-leaf Plot

csstemleaf

Parallel Coordinates Plot

csparallel

Q-Q Plot

csqqplot

Poissonness Plot

cspoissplot

Andrews Curves

csandrews

Exponential Probability Plot

csexpoplot

Binomial Plot

csbinoplot

PPEDA

csppeda csppstrtrem csppind

TABLE F.5 Chapter 6 Functions: Bootstrap Purpose

MATLAB Function

General bootstrap: resampling, estimates of standard error and bias

csboot

Constructing bootstrap confidence intervals

csbootint csbooperint csbootbca

TABLE F.6 Chapter 7 Functions: Jackknife Purpose

M ATLAB Function

Implements the jackknife and returns the jackknife estimate of standard error and bias

csjack

Implements the jackknife-after-bootstrap and returns the jackknife estimate of the error in the bootstrap

csjackboot

© 2002 by Chapman & Hall/CRC

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TABLE F.7 Chapter 8 Functions: Probability Density Estimation Purpose

MATLAB Function

Bivariate histogram

cshist2d cshistden

Frequency polygon

csfreqpoly

Averaged Shifted Histogram Kernel density estimation

Create plots

csash cskernnd cskern2d csdfplot csplotuni

Finite and adaptive mixtures

csfinmix csadpmix

TABLE BLE F.8 Chapter 9 Functions: Statistical Pattern Recognition Purpose Creating, pruning and displaying classification trees

M ATLAB Function csgrowc csprunec cstreec csplotreec cspicktreec

Creating, analyzing and displaying clusters

cshmeans cskmeans

Statistical pattern recognition using Bayes decision theory

csrocgen cskernmd cskern2d

© 2002 by Chapman & Hall/CRC

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TABL ABLE F.9 Chapter 10 Functions: Nonparametric Regression Purpose Loess smoothing

MATLAB Function csloess csloessenv csloessr

Local polynomial smoothing

cslocpoly

Functions for regression trees

csgrowr cspruner cstreer csplotreer cspicktreer

Nonparametric regression using kernels

csloclin

TABLE F.10 Chapter 11 Functions: Markov Chain Monte Carlo Purpose Gelman-Rubin convergence diagnostic Graphical demonstration of the MetropolisHastings sampler

MATLAB Function csgelrub csmcmcdemo

TABLE F.11 Chapter 12 Functions: Spatial Statistics Purpose Functions for generating samples from spatial point processes

Interactively find a study region

MATLAB Function csbinproc csclustproc csinhibproc cspoissproc csstraussproc csgetregion

Estimate the intensity using the quartic kernel (no edge effects)

csintkern

Estimating second-order effects of a spatial point pattern

csfhat csghat cskhat

© 2002 by Chapman & Hall/CRC