Statistics With Matlab
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Statistics in MATLAB
This primer provides an accessible introduction to MATLAB version 8 and its extensive functionality for statistics. Fulfilling the need for a practical user's guide, the book covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB, presenting examples of how MATLAB can be used to analyze data. It explains how to determine what method should be used for analysis, and includes figures, visual aids, and access to a companion website with data sets and additional examples.
Computational Statistics Handbook with MATLAB
A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB, Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the i
Statistics with Matlab. Examples and Exercises
Author: Cesar Perez Lopez
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2013-11-14
MATLAB is a platform for scientific computing that allows to work in virtually all areas of experimental sciences and engineering. Logically, this software allows to work in the field of statistics, presenting quite extensive capabilities. The number of commands that implements Matlab, concerning statistical work, is quite high and very efficient. In addition to statistical functions that implements the Basic module of the program Matlab presents a specific module for the statistical work called the Statistics Toolbox. The functions of this module allow to work in subjects such as descriptive statistics, probabilistic models, discrete and continuous random variables, confidence intervals and hypothesis contrasts, models of linear and non-linear regression, multivariate data analysis, quality control, design of experimentation and other content of industrial statistics. This book addresses all these materials to develop the following topics: Descriptive statistic Probability Discrete random variables Discrete probabilistic models Continuous random variables Continuous probabilistic models Confidence intervals Hypothesis tets Linear and non-linear regression Multivariate analysis Principal components analysis Discriminant analysis Cluster analysis Quality control Design of industrial statistics experiments Statistical functions of the basic module of matlab Statistics functions of the statistics toolbox module