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Large Sample Methods in Statistics (1994), Sen


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Цена: 663520.00T
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Автор: Sen
Название:  Large Sample Methods in Statistics (1994)
ISBN: 9781138106017
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1138106011
Обложка/Формат: Hardback
Страницы: 394
Вес: 0.73 кг.
Дата издания: 29.09.2017
Серия: Crc press revivals
Язык: English
Размер: 235 x 159
Читательская аудитория: Professional & vocational
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistical Theory & Methods
Подзаголовок: An Introduction with Applications
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications.

Barron`s AP Statistics, 9th Edition

Название: Barron`s AP Statistics, 9th Edition
ISBN: 1438009046 ISBN-13(EAN): 9781438009049
Издательство: Kaplan & Barrons
Рейтинг:
Цена: 16540.00 T
Наличие на складе: Невозможна поставка.
Описание: This manual's in-depth preparation for the AP Statistics exam features the 35 absolutely best AP Statistics exam hints found anywhere, and includes:

  • A diagnostic test and five full-length and up-to-date practice exams
  • All test questions answered and explained
  • Additional multiple-choice and free-response questions with answers
  • A 14-chapter subject review, covering all test topics
  • A new review chapter highlighting statistical insights into social issues
  • a new chapter on the Investigative Task, which counts as one-eighth of the exam
  • A guide to basic uses of TI, Casio, and HP graphing calculators

BONUS ONLINE PRACTICE TEST: Students who purchase this book will also get FREE access to one additional full-length online AP Statistics test with all questions answered and explained.

Want to boost your studies with even more practice and in-depth review? Try Barron's Ultimate AP Statistics for even more prep.

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
Рейтинг:
Цена: 62410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Methods of Applied Mathematics for Engineers and Scientists

Автор: Co
Название: Methods of Applied Mathematics for Engineers and Scientists
ISBN: 1107004128 ISBN-13(EAN): 9781107004122
Издательство: Cambridge Academ
Рейтинг:
Цена: 97140.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on course notes from over twenty years of teaching engineering and physical sciences at Michigan Technological University, Tomas Co's engineering mathematics textbook is rich with examples, applications and exercises. Professor Co uses analytical approaches to solve smaller problems to provide mathematical insight and understanding, and numerical methods for large and complex problems. The book emphasises applying matrices with strong attention to matrix structure and computational issues such as sparsity and efficiency. Chapters on vector calculus and integral theorems are used to build coordinate-free physical models with special emphasis on orthogonal co-ordinates. Chapters on ODEs and PDEs cover both analytical and numerical approaches. Topics on analytical solutions include similarity transform methods, direct formulas for series solutions, bifurcation analysis, Lagrange–Charpit formulas, shocks/rarefaction and others. Topics on numerical methods include stability analysis, DAEs, high-order finite-difference formulas, Delaunay meshes, and others. MATLAB® implementations of the methods and concepts are fully integrated.

Barron`s AP Statistics, 8th Edition

Автор: Sternstein Martin
Название: Barron`s AP Statistics, 8th Edition
ISBN: 1438004982 ISBN-13(EAN): 9781438004983
Издательство: Ingram
Цена: 17460.00 T
Наличие на складе: Нет в наличии.
Описание: This manual s in-depth preparation for the AP Statistics exam features the 35 absolutely best AP Statistics exam hints found anywhere, and includes:

  • A diagnostic test and five full-length and up-to-date practice exams
  • All test questions answered and explained
  • Additional multiple-choice and free-response questions with answers
  • A 15-chapter subject review covering all test topics
  • A guide to basic uses of TI-83/TI-84 calculators
    The manual can be purchased alone or with an enclosed CD-ROM that presents two additional practice tests with automatic scoring of the multiple-choice questions, as well as a second CD-ROM introducing the TI-Nspire.
    BONUS ONLINE PRACTICE TEST Students who purchase this book or package will also get FREE access to one additional full-length online AP Statistics test with all questions answered and explained."

  • 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
    Рейтинг:
    Цена: 93930.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    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
    Рейтинг:
    Цена: 60190.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    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.

    Revival: Large Sample Methods in Statistics (1994): An Introduction with Applications

    Автор: Pranab K. Sen, Julio M. Singer
    Название: Revival: Large Sample Methods in Statistics (1994): An Introduction with Applications
    ISBN: 1138560812 ISBN-13(EAN): 9781138560819
    Издательство: Taylor&Francis
    Рейтинг:
    Цена: 255200.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications.

    Essential Statistical Methods for Medical Statistics,

    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.

    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
    Рейтинг:
    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.

    Statistical Methods for Recommender Systems

    Автор: Agarwal
    Название: Statistical Methods for Recommender Systems
    ISBN: 1107036070 ISBN-13(EAN): 9781107036079
    Издательство: Cambridge Academ
    Рейтинг:
    Цена: 50680.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.

    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
    Рейтинг:
    Цена: 58380.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    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.

    Large Sample Techniques for Statistics

    Автор: Jiming Jiang
    Название: Large Sample Techniques for Statistics
    ISBN: 1461426235 ISBN-13(EAN): 9781461426233
    Издательство: Springer
    Рейтинг:
    Цена: 79190.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    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.


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