Computational Statistics Handbook with MATLAB

Name: Computational Statistics Handbook with MATLAB
Availability: OutOfStock
ISBN: 9781584882299

ISBN-10: 1584882298

ISBN-13: 9781584882299

Edition: 2002

Authors: Wendy L. Martinez, Angel R. Martinez

List price: $104.95

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Description:

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software.Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation…

Book details

List price: $104.95
Copyright year: 2002
Publisher: CRC Press LLC
Publication date: 9/26/2001
Binding: Hardcover
Pages: 616
Size: 6.50" wide x 9.25" long x 1.50" tall
Weight: 2.134
Language: English



Preface



Introduction



What Is Computational Statistics?



An Overview of the Book



Matlab Code



Further Reading



Probability Concepts



Introduction



Probability



Conditional Probability and Independence



Expectation



Common Distributions



Matlab Code



Further Reading


Exercises



Sampling Concepts



Introduction



Sampling Terminology and Concepts



Sampling Distributions



Parameter Estimation



Empirical Distribution Function



Matlab Code



Further Reading


Exercises



Generating Random Variables



Introduction



General Techniques for Generating Random Variables



Generating Continuous Random Variables



Generating Discrete Random Variables



Matlab Code



Further Reading


Exercises



Exploratory Data Analysis



Introduction



Exploring Univariate Data



Exploring Bivariate and Trivariate Data



Exploring Multi-Dimensional Data



Matlab Code



Further Reading


Exercises



Monte Carlo Methods for Inferential Statistics



Introduction



Classical Inferential Statistics



Monte Carlo Methods for Inferential Statistics



Bootstrap Methods



Matlab Code



Further Reading


Exercises



Data Partitioning



Introduction



Cross-Validation



Jackknife



Better Bootstrap Confidence Intervals



Jackknife-After-Bootstrap



Matlab Code



Further Reading


Exercises



Probability Density Estimation



Introduction



Histograms



Kernel Density Estimation



Finite Mixtures



Generating Random Variables



Matlab Code



Further Reading


Exercises



Statistical Pattern Recognition



Introduction



Bayes Decision Theory



Evaluating the Classifier



Classification Trees



Clustering



Matlab Code



Further Reading


Exercises



Nonparametric Regression



Introduction



Smoothing



Kernel Methods



Regression Trees



Matlab Code



Further Reading


Exercises



Markov Chain Monte Carlo Methods



Introduction



Background



Metropolis-Hastings Algorithms



The Gibbs Sampler



Convergence Monitoring



Matlab Code



Further Reading


Exercises



Spatial Statistics



Introduction



Visualizing Spatial Point Processes



Exploring First-order and Second-order Properties



Modeling Spatial Point Processes



Simulating Spatial Point Processes



Matlab Code



Further Reading


Exercises



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



Index of Notation



Projection Pursuit Indexes



Indexes



Matlab Source Code



Matlab Code



Bootstrap Confidence Interval



Adaptive Mixtures Density Estimation



Classification Trees



Regression Trees



Matlab Statistics Toolbox



Computational Statistics Toolbox



Data Sets


References


Index