Introduction To Applied Statistics

Author : James K. Lindsey
Publisher : Oxford University Press on Demand
Page : 321 pages
File Size : 51,8 Mb
Release : 2004
Category : Mathematics
ISBN : 0198528949

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Introduction to Applied Statistics by James K. Lindsey Pdf

This text is aimed at students in medicine, biology and the social sciences as well as those planning to specialize in applied statistics. It covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modeling and inference. Practical advice is provided on how to design a study, collect data, record observations accurately, detect errors, construct appropriate models, and interpret the results. The text contains many illustrative examples and exercises relating statistical principles to research. A companion web site is available with links to data sets, R codes, and an instructor's manual with teaching hints and solutions.

Author : James K. Lindsey
Publisher : Unknown
Page : 320 pages
File Size : 47,8 Mb
Release : 2009
Category : Electronic
ISBN : OCLC:615527582

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Introduction to Applied Statistics by James K. Lindsey Pdf

Author : David D. Hanagal
Publisher : Alpha Science International, Limited
Page : 0 pages
File Size : 48,5 Mb
Release : 2009
Category : Mathematical statistics
ISBN : 1842655310

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Introduction to Applied Statistics by David D. Hanagal Pdf

Introduction to Applied Statistics: A Non-Calculus Based Approach expresses our intent to introduce readers to statistics as it is used in practice. Introduction to Applied statistics is concerned with gaining understanding from data; it focuses on problem solving rather than on methods that may be useful in specific settings. A text cannot fully imitate practice, because it must teach specific methods in a logical order and must use data that are not the reader s own. This book makes non-statisticians, under-graduates, graduates, scientists and researchers understand statistics easily. The proofs of theorem and lemmas are not that necessary at the elementary level but it is necessary to know when, where and why to use these tools instead of proving a theorem or lemma. This book is very brief and compact in size and covers only the most necessary topics useful in day to day life.

Author : Richard Shiavi
Publisher : Elsevier
Page : 424 pages
File Size : 52,5 Mb
Release : 2010-07-19
Category : Technology & Engineering
ISBN : 9780080467689

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Introduction to Applied Statistical Signal Analysis by Richard Shiavi Pdf

Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain.

Author : Mehmet Ali Arslan
Publisher : Unknown
Page : 266 pages
File Size : 46,9 Mb
Release : 2017-09
Category : Social sciences
ISBN : 0999200550

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Introduction to Applied Statistics by Mehmet Ali Arslan Pdf

Introduction to Applied Statistics is truly a comprehensible book and after studying this book, students from all levels and backgrounds could easily apply statistics to their real-life problems. This book can also guide students in developing hands on experience by offering/utilizing traditional and contemporary solution tools. The following features have been presented/introduced to make this book quick and efficient way of learning and applying statistics. Briefly, this book includes;- clear and concise introduction to descriptive/inferential statistics and analysis- a content designed just for the students from various disciplines- hand calculations using core statistics formulas- worked section example solutions plus end of chapter exercises- key example Excel solutions - key example Minitab solutions

Author : James K. Lindsey
Publisher : Unknown
Page : 321 pages
File Size : 44,5 Mb
Release : 2004
Category : Mathematical statistics
ISBN : 0195685318

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Introduction to Applied Statistics by James K. Lindsey Pdf

Author : William N. Venables,Brian D. Ripley
Publisher : Springer Science & Business Media
Page : 562 pages
File Size : 51,5 Mb
Release : 2013-11-11
Category : Mathematics
ISBN : 9781475727197

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Modern Applied Statistics with S-PLUS by William N. Venables,Brian D. Ripley Pdf

A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.

Author : W.N. Venables,B.D. Ripley
Publisher : Springer Science & Business Media
Page : 501 pages
File Size : 50,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9780387217062

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Modern Applied Statistics with S by W.N. Venables,B.D. Ripley Pdf

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Author : Mehmet Mehmetoglu,Tor Georg Jakobsen
Publisher : SAGE
Page : 421 pages
File Size : 47,9 Mb
Release : 2022-04-26
Category : Social Science
ISBN : 9781529788464

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Applied Statistics Using Stata by Mehmet Mehmetoglu,Tor Georg Jakobsen Pdf

Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.

Author : Christopher Chatfield
Publisher : Chapman & Hall
Page : 384 pages
File Size : 49,6 Mb
Release : 1978
Category : Mathematics
ISBN : WISC:89034013268

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Statistics for Technology by Christopher Chatfield Pdf

One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering.The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters.Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing.Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.

Author : Chris Chatfield
Publisher : Routledge
Page : 384 pages
File Size : 43,6 Mb
Release : 2018-02-19
Category : Mathematics
ISBN : 9781351414081

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Statistics for Technology by Chris Chatfield Pdf

One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering.The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters.Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing.Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.

Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor
Publisher : Springer Nature
Page : 617 pages
File Size : 47,5 Mb
Release : 2023-08-01
Category : Mathematics
ISBN : 9783031387470

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An Introduction to Statistical Learning by Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor Pdf

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.

Author : Irving W. Burr
Publisher : Elsevier
Page : 500 pages
File Size : 42,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483277868

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Applied Statistical Methods by Irving W. Burr Pdf

Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.

Author : Second Wind Productions LLC
Publisher : Unknown
Page : 277 pages
File Size : 52,6 Mb
Release : 2018-01-30
Category : Electronic
ISBN : 1524955140

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Introduction to Applied Statistics by Second Wind Productions LLC Pdf

Author : John Gray Peatman
Publisher : Unknown
Page : 205 pages
File Size : 45,5 Mb
Release : 1963
Category : Statistics
ISBN : OCLC:10314888

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Workbook to Accompany "Introduction to Applied Statistics" by John Gray Peatman Pdf