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Computer Intensive Methods in Statistics, Zwanzig, Silvelyn , Mahjani, Behrang


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Автор: Zwanzig, Silvelyn , Mahjani, Behrang
Название:  Computer Intensive Methods in Statistics
ISBN: 9780367194253
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367194252
Обложка/Формат: Hardcover
Страницы: 436
Вес: 0.58 кг.
Дата издания: 09.12.2019
Язык: English
Размер: 236 x 155 x 18
Читательская аудитория: Tertiary education (us: college)
Основная тема: Statistics & Computing
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, wavelet estimators, splines, and model assessment

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.

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!

Bayesian Reasoning and Machine Learning

Автор: Barber
Название: Bayesian Reasoning and Machine Learning
ISBN: 0521518148 ISBN-13(EAN): 9780521518147
Издательство: Cambridge Academ
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Цена: 73920.00 T
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Описание: This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.

Performance analysis of complex networks and systems /

Автор: Van Mieghem, Piet.
Название: Performance analysis of complex networks and systems /
ISBN: 1107058600 ISBN-13(EAN): 9781107058606
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: A rigorous and self-contained guide to the mathematical, stochastic and graph theoretic methods needed to analyse the performance and robustness of complex networks and systems. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.

Applied Statistics Using Stata

Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen
Название: Applied Statistics Using Stata
ISBN: 1473913233 ISBN-13(EAN): 9781473913233
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Нет в наличии.
Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.

An Introduction to Secondary Data Analysis with IBM SPSS Statis

Автор: MacInnes John
Название: An Introduction to Secondary Data Analysis with IBM SPSS Statis
ISBN: 1446285774 ISBN-13(EAN): 9781446285770
Издательство: Sage Publications
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Цена: 46450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that`s needed to know about using secondary data and working with IBM SPSS Statistics.

Statistics for Business

Автор: Waller Derek L.
Название: Statistics for Business
ISBN: 0415703719 ISBN-13(EAN): 9780415703710
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Statistics for Business explains the fundamentals of statistical analysis in a lucid, pragmatic way. A thorough knowledge of statistics is essential for decision making in all corners of business and management. By collecting, organising and analysing statistical data you can express what you know, benchmark your current situation and estimate future outcomes.

Discovering statistics using ibm spss statistics

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419513 ISBN-13(EAN): 9781526419514
Издательство: Sage Publications
Рейтинг:
Цена: 195360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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!

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.

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.

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.


Robust Statistics, Data Analysis, and Computer Intensive Methods

Автор: Helmut Rieder
Название: Robust Statistics, Data Analysis, and Computer Intensive Methods
ISBN: 0387946608 ISBN-13(EAN): 9780387946603
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text presents a collection of contributions on modern techniques which are becoming widely used in statistics. These methods include the bootstrap, nonparametric density estimation, robust regression, and projections and sections.


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