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SPSS for Introductory and Intermediate Statistics: SPSS for Introductory Statistics
SPSS for Introductory and Intermediate Statistics: SPSS for Introductory Statistics

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....

Symbolic Data Analysis and the SODAS Software
Symbolic Data Analysis and the SODAS Software
Classical statistical techniques are often inadequate when it comes to analysing some of the large and internally variable datasets common today. Symbolic Data Analysis (SDA) has evolved in response to this problem and is a vital tool for summarizing information in such a way that the resulting data is of a manageable size. Symbolic data,...
Predictive Analytics: Microsoft Excel
Predictive Analytics: Microsoft Excel

Predictive Analytics: Microsoft® Excel

Excel predictive analytics for serious data crunchers!

 

The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your...

Handbook of Statistical Analysis and Data Mining Applications
Handbook of Statistical Analysis and Data Mining Applications

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the...

Exploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excel
Exploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excel

In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business...

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

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...

Statistics for Veterinary and Animal Science
Statistics for Veterinary and Animal Science

Banish your fears of statistical analysis using this clearly written and highly successful textbook.  Statistics for Veterinary and Animal Science Third Edition is an introductory text which assumes no previous knowledge of statistics.  It starts with very basic methodology and builds on it to encompass some of the more...

Logistic Regression: A Self-Learning Text
Logistic Regression: A Self-Learning Text

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...

Introduction to Probability Models, Tenth Edition
Introduction to Probability Models, Tenth Edition

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...

R for SAS and SPSS Users (Statistics and Computing)
R for SAS and SPSS Users (Statistics and Computing)

While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will...

IBM SPSS Modeler Cookbook
IBM SPSS Modeler Cookbook

Over 60 practical recipes to achieve better results using the experts' methods for data mining

Overview

  • Go beyond mere insight and build models than you can deploy in the day to day running of your business
  • Save time and effort while getting more value from your...
Data Mining and Statistics for Decision Making
Data Mining and Statistics for Decision Making
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...
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