'Using IBM SPSS Statistics' is intended as a self-instructional book in which the reader can learn to use SPSS on their own and at their own pace without the assistance of an instructor. The book uses statistics to teach SPSS, not SPSS to teach statistics.
Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financial management to machine learning to quality…
"This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It i…
"This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It i…
"This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It i…
This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the followin…
This program is a visual statistical abstract that combines a database of state or county statistical information with automated software for mapping and rudimentary statistical analysis.
by Cleophas, Ton J., Zwinderman, Aeilko H.
fromSpringerBriefs in statistics
by Zwinderman, Aeilko H., Cleophas, Ton J. M.
fromSpringerBriefs in statistics
Résumé : R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of th…
Shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python -- Back cover.
Shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python -- Back cover
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll…
