Topics in the Foundation of Statistics, B.C. van Fraassen

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
Рейтинг:
Цена: 54910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Автор: Mood
Название: Introduction To The Theory of Statistics
ISBN: 0070854653 ISBN-13(EAN): 9780070854659
Издательство: McGraw-Hill
Рейтинг:
Цена: 57190.00 T
Наличие на складе: Невозможна поставка.
Описание: A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year`s course in calculus with no prior knowledge of statistics or probability. Third revised edition.

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
Рейтинг:
Цена: 235790.00 T
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.

Автор: Jan Rycht??; Sat Gupta; Ratnasingham Shivaji; Maya
Название: Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
ISBN: 1493954652 ISBN-13(EAN): 9781493954650
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states.

Автор: Jan Rycht??; Sat Gupta; Ratnasingham Shivaji; Maya
Название: Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
ISBN: 1461493315 ISBN-13(EAN): 9781461493310
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states.

Автор: Lewis Margaret
Название: Applied statistics for economists
ISBN: 0415554683 ISBN-13(EAN): 9780415554688
Издательство: Taylor&Francis
Рейтинг:
Цена: 73490.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Andrew Gelman
Название: TEACHING STATISTICS 2E C
ISBN: 0198785690 ISBN-13(EAN): 9780198785699
Издательство: Oxford Academ
Рейтинг:
Цена: 86590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
Рейтинг:
Цена: 31630.00 T
Наличие на складе: Поставка под заказ.
Описание: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing.
*Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology.
*Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data.
*The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing.
*Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
*Includes numerous worked examples and exercises within each chapter.
Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

Автор: J. Philip Miller
Название: Essential Statistical Methods for Medical Statistics,
ISBN: 0444537376 ISBN-13(EAN): 9780444537379
Издательство: Elsevier Science
Рейтинг:
Цена: 56940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addresses statistical challenges in epidemiological, biomedical, and pharmaceutical research. This book presents methods for assessing Biomarkers, analysis of competing risks. It offers clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs.

Автор: B.C. van Fraassen
Название: Topics in the Foundation of Statistics
ISBN: 0792344057 ISBN-13(EAN): 9780792344056
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Foundational research focuses on the theory, but theories are to be related also to other theories, experiments, facts in their domains, data, and to their uses in applications, whether of prediction, control, or explanation. A theory is to be identified through its class of models, but not so narrowly as to disallow these roles.

Автор: Prakash Gorroochurn
Название: Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times
ISBN: 1119127920 ISBN-13(EAN): 9781119127925
Издательство: Wiley
Рейтинг:
Цена: 118220.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "There is nothing like it on the market. no others are as encyclopedic. the writing is exemplary: simple, direct, and competent. " George W.

Автор: Giorgio Alleva; Andrea Giommi
Название: Topics in Theoretical and Applied Statistics
ISBN: 3319272721 ISBN-13(EAN): 9783319272726
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bookhighlights the latest research findings from the 46th International Meeting ofthe Italian Statistical Society (SIS) in Rome, during which both methodologicaland applied statistical research was discussed.