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Statistics for Business, Perumal Mariappan


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в Мои желания

Автор: Perumal Mariappan
Название:  Statistics for Business
ISBN: 9781138336179
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1138336173
Обложка/Формат: Hardcover
Страницы: 392
Вес: 0.87 кг.
Дата издания: 19.06.2019
Язык: English
Иллюстрации: 272 tables, black and white; 61 illustrations, black and white
Размер: 186 x 263 x 21
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, BUSINESS & ECONOMICS / Management Science,MATHEMATICS / Probability & Statistics / General,REFERENCE / General
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Поставляется из: Европейский союз
Описание: This Business Statistics book has been contrived to serve as a textbook for students in business, computer science, bio-engineering, environmental technology and mathematics. It emphasizes statistical applications, statistical model building and determining manual methods of solution.

Scientific Method in Brief

Автор: Gauch, Jr
Название: Scientific Method in Brief
ISBN: 1107666724 ISBN-13(EAN): 9781107666726
Издательство: Cambridge Academ
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Цена: 43290.00 T
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Описание: Specifically designed to enhance perspective and encourage productivity, this is a guide to the key principles of scientific method including deductive and inductive logic, probability, parsimony and hypothesis testing. The examples and case studies span the physical, biological and social sciences and also highlight science`s interrelationship with the humanities.

Basic Statistics for Business and Economics (2013 ed)

Автор: Lind Dougla
Название: Basic Statistics for Business and Economics (2013 ed)
ISBN: 0071318070 ISBN-13(EAN): 9780071318075
Издательство: McGraw-Hill
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Цена: 65190.00 T
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Описание: Presents a step-by-step approach that enhances student performance, accelerates preparedness and improves motivation for the student taking a business statistics course. This title provides students majoring in all fields of business administration with an introductory survey of the many applications of descriptive and inferential statistics.

Naked Statistics: Stripping the Dread from the Data

Автор: Wheelan Charles
Название: Naked Statistics: Stripping the Dread from the Data
ISBN: 039334777X ISBN-13(EAN): 9780393347777
Издательство: Wiley
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Цена: 14770.00 T
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Описание: A New York Times bestseller "Brilliant, funny...the best math teacher you never had." -San Francisco Chronicle

Discovering statistics using ibm spss statistics

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419521 ISBN-13(EAN): 9781526419521
Издательство: Sage Publications
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Цена: 28090.00 T
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Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

The Mata book

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
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Цена: 61240.00 T
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Описание: The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata.

Ibm spss statistics 25 step by step

Автор: George, Darren Mallery, Paul
Название: Ibm spss statistics 25 step by step
ISBN: 1138491071 ISBN-13(EAN): 9781138491076
Издательство: Taylor&Francis
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Цена: 61240.00 T
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Описание:

IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS.

This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge.

New to this edition:

  • Updated throughout to SPSS 25
  • Updated / restructured material on: Chart Builder; Univariate ANOVA; moderation on two- and three-way ANOVA; and Factor Analytic Techniques (formerly Factor Analysis structure)
  • New material on computing z and T scores, and on computing z scores within descriptive statistics 
  • Clearer in-chapter links between the type of data and type of research question that the procedure can answer
  • Updated / additional datasets, exercises, and expanded Companion Website material, including Powerpoint slides for instructors

Statistics in a Nutshell

Автор: Boslaugh Sarah
Название: Statistics in a Nutshell
ISBN: 1449316824 ISBN-13(EAN): 9781449316822
Издательство: Wiley
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Цена: 46450.00 T
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Описание: Need to learn statistics as part of your job, or want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone who`s new to the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.

Psychology Statistics For Dummies

Автор: Hanna Donncha
Название: Psychology Statistics For Dummies
ISBN: 1119952875 ISBN-13(EAN): 9781119952879
Издательство: Wiley
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Цена: 7380.00 T
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Описание: The introduction to statistics that psychology students can`t afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 74510.00 T
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Matrix Differential Calculus with Applications in Statistics and Econometrics

Автор: Jan R. Magnus, Heinz Neudecker
Название: Matrix Differential Calculus with Applications in Statistics and Econometrics
ISBN: 1119541204 ISBN-13(EAN): 9781119541202
Издательство: Wiley
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Цена: 93930.00 T
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Описание:

A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics

This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.

Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.

  • Fulfills the need for an updated and unified treatment of matrix differential calculus
  • Contains many new examples and exercises based on questions asked of the author over the years
  • Covers new developments in field and features new applications
  • Written by a leading expert and pioneer of the theory
  • Part of the Wiley Series in Probability and Statistics

Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.


Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Counterfactuals and Causal Inference

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.


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