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Author : J. Hine,Wetherill, G. Barrie Wetherill
Publisher : Unknown
Page : 128 pages
File Size : 44,9 Mb
Release : 1975
Category : Electronic
ISBN : OCLC:873939922
Author : J. Hine
Publisher : Springer Science & Business Media
Page : 77 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401165099
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 : Joan Hine,G. Barrie Wetherill
Publisher : Chapman & Hall
Page : 95 pages
File Size : 54,7 Mb
Release : 1975-01-01
Category : Mathematical statistics
ISBN : 0470400404
Author : J. Hine
Publisher : Springer
Page : 109 pages
File Size : 46,5 Mb
Release : 1975-09-25
Category : Science
ISBN : 0412137305
Author : Hine
Publisher : Unknown
Page : 69 pages
File Size : 49,6 Mb
Release : 1975-10-01
Category : Electronic
ISBN : 0470400439
Author : J. Hine
Publisher : Springer
Page : 70 pages
File Size : 49,6 Mb
Release : 2012-03-22
Category : Mathematics
ISBN : 9401165106
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 : John Chambers
Publisher : Springer Science & Business Media
Page : 515 pages
File Size : 42,5 Mb
Release : 2008-06-14
Category : Computers
ISBN : 9780387759364
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.
Author : Joan Hine,George Barrie Wetherill
Publisher : Chapman & Hall
Page : 53 pages
File Size : 46,9 Mb
Release : 1975
Category : Mathematical statistics
ISBN : OCLC:181821259
Author : Yoni Nazarathy,Hayden Klok
Publisher : Springer Nature
Page : 527 pages
File Size : 50,6 Mb
Release : 2021-09-04
Category : Computers
ISBN : 9783030709013
This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics. The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than developers. It makes heavy use of over 200 code examples to illustrate dozens of key statistical concepts. The Julia code, written in a simple format with parameters that can be easily modified, is also available for download from the book’s associated GitHub repository online. See what co-creators of the Julia language are saying about the book: Professor Alan Edelman, MIT: With “Statistics with Julia”, Yoni and Hayden have written an easy to read, well organized, modern introduction to statistics. The code may be looked at, and understood on the static pages of a book, or even better, when running live on a computer. Everything you need is here in one nicely written self-contained reference. Dr. Viral Shah, CEO of Julia Computing: Yoni and Hayden provide a modern way to learn statistics with the Julia programming language. This book has been perfected through iteration over several semesters in the classroom. It prepares the reader with two complementary skills - statistical reasoning with hands on experience and working with large datasets through training in Julia.
Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 42,7 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368
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 : A. John Bailer
Publisher : CRC Press
Page : 324 pages
File Size : 42,8 Mb
Release : 2020-01-28
Category : Business & Economics
ISBN : 9781000735420
Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming. The coverage of statistical programming in the second edition includes Getting data into the SAS system, engineering new features, and formatting variables Writing readable and well-documented code Structuring, implementing, and debugging programs that are well documented Creating solutions to novel problems Combining data sources, extracting parts of data sets, and reshaping data sets as needed for other analyses Generating general solutions using macros Customizing output Producing insight-inspiring data visualizations Parsing, processing, and analyzing text Programming solutions using matrices and connecting to R Processing text Programming with matrices Connecting SAS with R Covering topics that are part of both base and certification exams.
Author : Pierre Lafaye de Micheaux,Rémy Drouilhet,Benoit Liquet
Publisher : Springer Science & Business
Page : 654 pages
File Size : 48,7 Mb
Release : 2014-05-13
Category : Computers
ISBN : 9781461490203
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.
Author : Robert B. Ewen
Publisher : Academic Press
Page : 172 pages
File Size : 49,7 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483258270
Introductory Statistics for the Behavioral Sciences is a workbook on statistical procedures and formulas that are relevant to research and field work. The book explains frequency distributions, graphs, and measures of central tendency. The workbook uses as example hypothetical scores of a test given to students in four universities. The book then has sections on reminders and problems to guide the reader. Other topics the book discusses include measures of variability, transformed scores, probability, and general strategy of inferential statistics. Other subjects the book also covers include inferences about the mean of a single population and testing hypotheses about the differences between the means of two populations. The workbook also includes practice problems on linear correlation, prediction, and other correlational techniques such as the Spearmen rank-order correlation coefficient or the point biserial correlation coefficient. The book also includes review chapters on normal curves, standard error procedures, and inferential statistics. The workbook can be a great aid for students of behavioral and physical sciences where statistics is applied in research and analysis.
Author : Robert B. Ewen
Publisher : Academic Press
Page : 235 pages
File Size : 43,7 Mb
Release : 2014-05-10
Category : Psychology
ISBN : 9781483257846
Workbook for Introductory Statistics for the Behavioral Sciences, Second Edition provides an introduction to the concepts of statistics. This book aims to help students obtain the necessary practice in a first course in statistics, which is essential to learning and understanding the material. This edition begins with an overview of summation notation exercises with additional computational practices. This text then provides computational exercises for regular frequency distributions, grouped frequency distributions, cumulative frequency distribution, graphic representations, measures of central tendency, measures of variability, and general transformations. This book discusses as well the probability and the general strategy of inferential statistics as well as the differences between the means of two populations. The reader is also introduced to the main advantage of nonparametric and distribution-free statistical tests in which they do not require the population being sampled to the normally distributed. This book is a valuable resource for students of behavioral and social sciences.
Author : Anonim
Publisher : Unknown
Page : 476 pages
File Size : 44,5 Mb
Release : 1978
Category : Weights and measures
ISBN : MINN:20000003399652
