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Author : J. Hine
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (873 download)
Download or read book A Programmed Text in Statistics written by J. Hine and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. Hine
Publisher : Springer
ISBN 13 : 9780412137303
Total Pages : 109 pages
Book Rating : 4.1/5 (373 download)
Download or read book Programmed Text in Statistics written by J. Hine and published by Springer. This book was released on 1975-09-25 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joan Hine
Publisher : Chapman & Hall
ISBN 13 : 9780470400401
Total Pages : 95 pages
Book Rating : 4.4/5 (4 download)
Download or read book A Programmed Text in Statistics written by Joan Hine and published by Chapman & Hall. This book was released on 1975-01-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. Hine
Publisher : Springer Science & Business Media
ISBN 13 : 9401165092
Total Pages : 77 pages
Book Rating : 4.4/5 (11 download)
Download or read book A Programmed Text in Statistics Book 4: Tests on Variance and Regression written by J. Hine and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exercises for Section 2 42 Physical sciences and engineering 42 43 Biological sciences 45 Social sciences Solutions to Exercises, Section 1 47 Physical sciences and engineering 47 49 Biological sciences 49 Social sciences Solutions to Exercises, Section 2 51 51 PhYSical sciences and engineering 55 Biological sciences 58 Social sciences 62 Tables 2 62 x - tests involving variances 2 63,64 x - one tailed tests 2 65 x - two tailed tests F-distribution 66-69 Preface This project started some years ago when the Nuffield Foundation kindly gave a grant for writing a pro grammed text to use with service courses in statistics. The work carried out by Mrs. Joan Hine and Professor G. B. Wetherill at Bath University, together with some other help from time to time by colleagues at Bath University and elsewhere. Testing was done at various colleges and universities, and some helpful comments were received, but we particularly mention King Edwards School, Bath, who provided some sixth formers as 'guinea pigs' for the first testing, the Bishop Lonsdale College of Education, and Bradford University. 2 OUf objectives in the text are to take students to the use of standard t, F and X tests, with some intro duction to regression, assuming no knowledge of statistics to start, and to do this in such a way that students attain some degree of understanding of the underlying reasoning. Service courses are often something of a problem to statistics departments.
Author : Hine
Publisher :
ISBN 13 : 9780470400432
Total Pages : 69 pages
Book Rating : 4.4/5 (4 download)
Download or read book Programmed Text in Statistics Book 4 Tests on Vari Ance and Regression written by Hine and published by . This book was released on 1975-10-01 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Dalgaard
Publisher : Springer Science & Business Media
ISBN 13 : 0387790543
Total Pages : 370 pages
Book Rating : 4.3/5 (877 download)
Download or read book Introductory Statistics with R written by Peter Dalgaard and published by Springer Science & Business Media. This book was released on 2008-06-27 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Author : Joan Hine
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (75 download)
Download or read book A Programmed Text in Statistics written by Joan Hine and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tilman M. Davies
Publisher : No Starch Press
ISBN 13 : 1593276516
Total Pages : 833 pages
Book Rating : 4.5/5 (932 download)
Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author : J. Hine
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (874 download)
Download or read book A Programmed Text in Statistics written by J. Hine and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joan Hine
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (75 download)
Download or read book A Programmed Text in Statistics: Basic theory written by Joan Hine and published by . This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hine
Publisher :
ISBN 13 : 9780470400418
Total Pages : 109 pages
Book Rating : 4.4/5 (4 download)
Download or read book Programmed Text in Statistics Book 2 Basic Theory written by Hine and published by . This book was released on 1975-10-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Programmed Text in Statistics written by and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hine
Publisher :
ISBN 13 : 9780470400425
Total Pages : 53 pages
Book Rating : 4.4/5 (4 download)
Download or read book Programmed Text in Statistics Book 3 T-Test and Go Odness of Fit written by Hine and published by . This book was released on 1975-10-01 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joan Hine
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (75 download)
Download or read book A Programmed Text in Statistics: The t-test and x2 goodness of fit written by Joan Hine and published by . This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jack Hine
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (883 download)
Download or read book A Programmed Text in Statistics written by Jack Hine and published by . This book was released on 1975 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author : Gareth James
Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.0/5 (313 download)
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
