Modern applied biostatistical methods using S-Plus /
[Book]
Steve Selvin.
New York :
Oxford University Press,
1998.
1 online resource (xiv, 461 pages) :
illustrations.
Monographs in epidemiology and biostatistics ;
v. 28
Includes bibliographical references and index.
""Contents""; ""1. S-language""; ""In the beginning""; ""Three data types�and some input conventions""; ""Reading values into SPLUS""; ""S-tools�a beginning set""; ""S-arithmetic""; ""More S-tools�intermediate set""; ""S-tools for statistics""; ""Statistical distributions in SPLUS""; ""Arrays and tables""; ""Matrix algebra tools""; ""Some additional S-tools""; ""Four S-code examples""; ""The .Data file""; ""Addendum: Built-in editors""; ""Problem set I""; ""2. Descriptive Techniques""; ""Description of descriptive statistics""; ""Basic statistical measures""
""Estimation of the center of a two-dimensional distribution""""Addendum: S-geometry""; ""Problem set II""; ""3. Simulation: Random Values""; ""Random uniform values""; ""An example""; ""Sampling without and with replacement""; ""Random sample from a discrete probability distribution�acceptance/rejection sampling""; ""Random sample from a discrete probability distribution�inverse transform method""; ""Binomial probability distribution""; ""Hypergeometric probability distribution""; ""Poisson probability distribution""; ""Geometric probability distribution""
""Histogram smoothing�density estimation""""Stem-and-leaf display""; ""Comparison of groups�t-test""; ""Comparison of groups�boxplots""; ""Comparison of data to a theoretical distribution�quantile plots""; ""Comparison of groups�qqplots""; ""xy-plot""; ""Three-dimensional plots�perspective plots""; ""Three-dimensional plots�contour plots""; ""Three-dimensional plots�rotation""; ""Smoothing""; ""Two-dimensional smoothing of spatial data""; ""Clusters as a description of data""; ""Additivity�""sweeping"" an array""; ""Example�geographic calculations using S-functions""
""Polynomial regression""""Discriminant analysis""; ""Linear logistic model""; ""Categorical data�bivariate linear logistic model""; ""Multivariable data�linear logistic model""; ""Goodness-of-fit""; ""Poisson model""; ""Multivariable Poisson model""; ""Problem set IV""; ""5. Estimation""; ""Estimation: Maximum Likelihood""; ""Estimator properties""; ""Maximum likelihood estimator""; ""Scoring to find maximum likelihood estimates""; ""Multiparameter estimation""; ""Generalized scoring""; ""Estimation: Bootstrap""; ""Background""; ""General outline""
""Random samples from a continuous distribution""""Inverse transform method""; ""Simulating values from the normal distribution""; ""Four other statistical distributions""; ""Simulating minimum and maximum values""; ""Butler's method""; ""Random values over a complex region""; ""Multivariate normal variables""; ""Problem set III""; ""4. General Linear Models""; ""Simplest case�univariate linear regression""; ""Multivariable case""; ""Multivariable linear model""; ""A closer look at residual values""; ""Predict�pointwise confidence intervals""; ""Formulas for glm()""
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Modern applied biostatistical methods using S-Plus.