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Large Sample Techniques for Statistics, Jiming Jiang


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Цена: 11878.00р.
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Автор: Jiming Jiang
Название:  Large Sample Techniques for Statistics
ISBN: 9781461426233
Издательство: Springer
Классификация:
ISBN-10: 1461426235
Обложка/Формат: Paperback
Страницы: 610
Вес: 0.87 кг.
Дата издания: 05.09.2012
Серия: Springer Texts in Statistics
Язык: English
Размер: 234 x 156 x 32
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs.


Causal Inference for Statistics, Social, and Biomedical Sciences

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

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: 5859.00 р.
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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.

Applied statistics for economists

Автор: Lewis Margaret
Название: Applied statistics for economists
ISBN: 0415554683 ISBN-13(EAN): 9780415554688
Издательство: Taylor&Francis
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Цена: 11023.00 р.
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Описание: This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.

TEACHING STATISTICS 2E C

Автор: Andrew Gelman
Название: TEACHING STATISTICS 2E C
ISBN: 0198785690 ISBN-13(EAN): 9780198785699
Издательство: Oxford Academ
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Цена: 12989.00 р.
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Описание: To help overcome the challenges of teaching statistics across various diciplines, Gelman and Nolan have put together this fascinating and thought-provoking book based on years of teaching experience.

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: 11789.00 р.
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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.

Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
Наличие на складе: Поставка под заказ.

Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Course in Mathematical Statistics and Large Sample Theory

Название: Course in Mathematical Statistics and Large Sample Theory
ISBN: 1493940309 ISBN-13(EAN): 9781493940301
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.

Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know

Автор: Kristin H. Jarman
Название: Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know
ISBN: 1118856112 ISBN-13(EAN): 9781118856116
Издательство: Wiley
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Цена: 8229.00 р.
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Описание: This book focuses on the more subjective side of statistics - the art of data analysis. Using a handful of fun examples, each chapter asks a single question, illustrating the different ways that questions can be answered with techniques taught in any introductory statistics course.

Probabilistic Graphical Models: Principles and Techniques

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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Описание:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.

Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Essential Methods for Design Based Sample Surveys: A Derivative of Handbook of Statistics: Sample Surveys: Design, Methods and Applications, Volume 29

Автор: Pfeffermann Danny, Rao C. R.
Название: Essential Methods for Design Based Sample Surveys: A Derivative of Handbook of Statistics: Sample Surveys: Design, Methods and Applications, Volume 29
ISBN: 0444638261 ISBN-13(EAN): 9780444638267
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание: Essential Methods for Design Based Sample Surveys presents key method contributions selected from the volume in the Handbook of Statistics: Sample Surveys: Design, Methods and Applications, Vol. 29a (2009).This essential reference provides specific aspects of sample survey design, with references to important contributions and available software. The content is aimed at researchers and practitioners who use statistical methods in design based sample surveys and market research. This book presents the core essential methods of sample selection and data processing. The data processing discussion covers editing and imputation, and methods of disclosure control. This reference contains a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses.

Statistics for Real-Life Sample Surveys

Автор: Sergey Dorofeev
Название: Statistics for Real-Life Sample Surveys
ISBN: 0521674654 ISBN-13(EAN): 9780521674652
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above all, realistic and implementable solutions.

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: 2216.00 р.
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Описание: A New York Times bestseller "Brilliant, funny...the best math teacher you never had." -San Francisco Chronicle


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