Learn IT - Books tags spss

Logistic Regression: A Self-Learning Text

Springer, 2002

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in...

R Graphics Cookbook

O'Reilly, 2013

I started using R several years ago to analyze data I had collected for my research in graduate school. My motivation at first was to escape from the restrictive environments and canned analyses offered by statistical programs like SPSS. And even better, because it’s freely available, I didn’t need to...

Introduction to Probability Models, Tenth Edition

Academic Press, 2009

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think...

Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics (IBM Press)

IBM Press, 2011

"A very rich book sprinkled with real-life examples as well as battle-tested advice.”
—Pierre Haren, VP ILOG, IBM

"James does a thorough job of explaining Decision Management Systems as enablers
of a formidable business transformation.”
—Deepak Advani, Vice President,...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Practical Web Scraping for Data Science: Best Practices and Examples with Python

Apress, 2018

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full...

Learn RStudio IDE: Quick, Effective, and Productive Data Science

Apress, 2019

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and...

Spss Programming And Data Management: A Guide for Spss And Sas Users

Spss, 2005

Experienced data analysts know that a successful analysis or meaningful report often requires more work in acquiring, merging, and transforming data than in specifying the analysis or report itself. SPSS contains powerful tools for accomplishing and automating these tasks. While much of this capability is available through the graphical user...

SPSS for Introductory and Intermediate Statistics: SPSS for Introductory Statistics

Psychology Press, 2004

This book is designed to help students learn how to analyze and interpret research data with basic statistics. It is intended to be a supplemental text in an introductory (undergraduate or graduate) statistics or research methods course in the behavioral sciences or education and it can be used in conjunction with any mainstream text....

SPSS 13.0 Brief Guide

Prentice Hall, 2004

The SPSS 13.0 Brief Guide provides a set of tutorials designed to acquaint you with the various components of the SPSS system. You can work through the tutorials in sequence or turn to the topics for which you need additional information. You can use this guide as a supplement to the online tutorial that is included with the...

Performing Data Analysis Using IBM SPSS

John Wiley & Sons, 2013

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®

Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,...

Doing Statistics With SPSS

Sage Publications, 2002

Doing Statistics With SPSS is derived from the authors' many years of experience teaching undergraduates data handling using SPSS. It assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based...

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