Koha online

Your cart is empty.
Normal view MARC view ISBD view

Applied Statistics Using SPSS, STATISTICA, MATLAB and R [electronic resource] /edited by Joaquim P. Marques de Sá.

by Marques de Sá, Joaquim P [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XXIV, 506p. 196 illus. online resource.ISBN: 9783540719724.Subject(s): Statistics | Engineering mathematics | Statistics | Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences | Numerical and Computational Methods in Engineering | Systems and Information Theory in Engineering | Appl.Mathematics/Computational Methods of EngineeringDDC classification: 519.5 Online resources: Click here to access online
Contents:
Presenting and Summarising the Data -- Estimating Data Parameters -- Parametric Tests of Hypotheses -- Non-Parametric Tests of Hypotheses -- Statistical Classification -- Data Regression -- Data Structure Analysis -- Survival Analysis -- Directional Data.
In: Springer eBooksSummary: This successful textbook is intended for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB, STATISTICA and R. The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATLAB, STATISTICA and R in statistical analysis applications without having to delve in the manuals. Major improvements of the second edition are the inclusion of the R language as one of the application tools, a new section on bootstrap estimation methods, a revised explanation and treatment of tree classifiers as well as extra examples and exercises.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)

Presenting and Summarising the Data -- Estimating Data Parameters -- Parametric Tests of Hypotheses -- Non-Parametric Tests of Hypotheses -- Statistical Classification -- Data Regression -- Data Structure Analysis -- Survival Analysis -- Directional Data.

This successful textbook is intended for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB, STATISTICA and R. The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATLAB, STATISTICA and R in statistical analysis applications without having to delve in the manuals. Major improvements of the second edition are the inclusion of the R language as one of the application tools, a new section on bootstrap estimation methods, a revised explanation and treatment of tree classifiers as well as extra examples and exercises.

There are no comments for this item.

Log in to your account to post a comment.
@ Jomo Kenyatta University Of Agriculture and Technology Library

Powered by Koha