Computational statistics handbook with MATLAB. (2016)
- Record Type:
- Book
- Title:
- Computational statistics handbook with MATLAB. (2016)
- Main Title:
- Computational statistics handbook with MATLAB
- Further Information:
- Note: Wendy L. Martinez, Angel R. Martinez.
- Authors:
- Martinez, Wendy L
Martinez, Angel R - Contents:
- 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; Nearest Neighbor Classifier; Support Vector Machines Unsupervised Learning ; Introduction; MeasuresIntroduction; 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; Nearest Neighbor Classifier; Support Vector Machines 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; Model Selection and Regularization; Partial Least Squares Regression Nonparametric Models ; Introduction; Some Smoothing Methods; Kernel Methods; Smoothing Splines; Nonparametric Regression—Other Details; Regression Trees; Additive Models; Multivariate Adaptive Regression Splines Markov Chain Monte Carlo Methods ; Introduction; Background; Metropolis–Hastings Algorithms; The Gibbs Sampler; Convergence Monitoring Appendix A: MATLAB® Basics ; Appendix B: Projection Pursuit Indexes ; Appendix C: Data Sets ; Appendix D: Notation References Index MATLAB® Code, Further Reading, and Exercises appear at the end of each chapter. … (more)
- Edition:
- Third edition
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2016
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 519.5028536
Numerical analysis -- Computer programs
Mathematical statistics -- Data processing - Languages:
- English
- ISBNs:
- 9781466592742
9781466592766 - Related ISBNs:
- 9781466592735
- Notes:
- Note: Includes bibliographical references and index.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Physical Locations:
- British Library HMNTS - ELD.DS.138313
- Ingest File:
- 02_082.xml