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: Liptser Robert S., Shiryaev Albert N., Aries B. Название: Statistics of Random Processes / I. General Theory ISBN: 3540639292 ISBN-13(EAN): 9783540639299 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.
Автор: Liptser Robert S., Shiryaev Albert N., Aries A.B. Название: Statistics of Random Processes / II. Applications ISBN: 3540639284 ISBN-13(EAN): 9783540639282 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Нет в наличии. Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.
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: 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: Graham, Alan Название: Teach yourself statistics ISBN: 0340966165 ISBN-13(EAN): 9780340966167 Издательство: Hodder Arnold Рейтинг: Цена: 10550.00 T Наличие на складе: Нет в наличии. Описание: Nearly all aspects of our lives can be subject to statistical analysis. Teach Yourself Statistics will show you how to interpret, analyse and present figures.
Автор: Sheldon M. Ross Название: Introductory Statistics, ISBN: 0123743885 ISBN-13(EAN): 9780123743886 Издательство: Elsevier Science Рейтинг: Цена: 84990.00 T Наличие на складе: Невозможна поставка. Описание:
Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning.
To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website.
This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics.
Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context
Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud.
Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools
Автор: Pelham Название: Intermediate Statistics ISBN: 1412994985 ISBN-13(EAN): 9781412994989 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions
Автор: Watkins Название: Student Solutions Manual Statistics 2e ISBN: 047053060X ISBN-13(EAN): 9780470530603 Издательство: Wiley Рейтинг: Цена: 47470.00 T Наличие на складе: Поставка под заказ. Описание: This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis than on following recipes for calculations.
Автор: Daniel B Wright and Kamala London Название: First (and Second) Steps in Statistics ISBN: 1412911419 ISBN-13(EAN): 9781412911412 Издательство: Sage Publications Рейтинг: Цена: 156290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presented through exciting examples, with an emphasis on understanding rather than computation, the Second Edition provides a crystal clear introduction to the main statistical procedures used in the psychological and social sciences.
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.
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