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" Computational statistics handbook with MATLAB "
Wendy L. Martinez, Angel R. Martinez.
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BL
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| Record Number
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730096
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b549855
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| Main Entry
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Wendy L. Martinez, Angel R. Martinez.
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| Title & Author
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Computational statistics handbook with MATLAB\ Wendy L. Martinez, Angel R. Martinez.
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| Edition Statement
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2nd ed
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| Publication Statement
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[Place of publication not identified]: Chapman and Hall/CRC, 2007
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| Series Statement
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Series in computer science and data analysis.
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| Page. NO
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(792 pages : 211 illustrations).
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| ISBN
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1420010867
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: 9781420010862
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| Contents
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Prefaces ; Introduction ; What Is Computational Statistics?; An Overview of the Book; Probability Concepts ; Introduction; Probability; Conditional Probability and Independence; Expectation; Common Distributions; Sampling Concepts ; Introduction; Sampling Terminology and Concepts; Sampling Distributions; Parameter Estimation; Empirical Distribution Function; Generating Random Variables ; Introduction; General Techniques for Generating Random Variables; Generating Continuous Random Variables; Generating Discrete Random Variables; Exploratory Data Analysis ; Introduction; Exploring Univariate Data; Exploring Bivariate and Trivariate Data; Exploring Multidimensional Data; Finding Structure ; Introduction; Projecting Data; Principal Component Analysis; Projection Pursuit EDA; Independent Component Analysis; Grand Tour; Nonlinear Dimensionality Reduction; Monte Carlo Methods for Inferential Statistics ; Introduction; Classical Inferential Statistics; Monte Carlo Methods for Inferential Statistics; Bootstrap Methods; Data Partitioning ; Introduction; Cross-Validation; Jackknife; Better Bootstrap Confidence Intervals; Jackknife-after-Bootstrap; Probability Density Estimation ; Introduction; Histograms; Kernel Density Estimation; Finite Mixtures; Generating Random Variables; Supervised Learning ; Introduction; Bayes' Decision Theory; Evaluating the Classifier; Classification Trees; Combining Classifiers; Unsupervised Learning ; Introduction; Measures of Distance; Hierarchical Clustering; K-Means Clustering; Model-Based Clustering; Assessing Cluster Results; Parametric Models ; Introduction; Spline Regression Models; Logistic Regression; Generalized Linear Models; Nonparametric models ; Introduction; Some Smoothing Methods; Kernel Methods; Smoothing Splines; Nonparametric Regression-Other Details; Regression Trees; Additive Models; Markov Chain Monte Carlo Methods ; Introduction; Background; Metropolis-Hastings Algorithms; The Gibbs Sampler; Convergence Monitoring; Spatial Statistics ; Introduction; Visualizing Spatial Point Processes; Exploring First-Order and Second-Order Properties; Modeling Spatial Point Processes; Simulating Spatial Point Processes; Appendix A: Introduction to Matlab ; What Is MATLAB?; Getting Help in MATLAB; File and Workspace Management; Punctuation in MATLAB; Arithmetic Operators; Data Constructs in MATLAB; Script Files and Functions; Control Flow ; Simple Plotting; Contact Information; Appendix B: Projection Pursuit Indexes ; Indexes; MATLAB Source Code; Appendix C: Matlab Statistics Toolbox ; Appendix D: Computational Statistics Toolbox ; Appendix E: Exploratory Data Analysis Toolboxes ; Introduction; EDA Toolbox; EDA GUI Toolbox; Appendix F: Data Sets ; Appendix G: NOTATION ; References ; INDEX ; MATLAB Code, Further Reading, and Exercises appear at the end of each chapter.
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| Subject
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Mathematical statistics -- Data processing.
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MATLAB.
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Angel R Martinez
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Wendy L Martinez
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