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Introduction To Statistical Methods, Severini


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Цена: 13779.00р.
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Автор: Severini
Название:  Introduction To Statistical Methods
ISBN: 9781138198371
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1138198374
Обложка/Формат: Hardback
Страницы: 386
Вес: 0.75 кг.
Дата издания: 11.07.2017
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Иллюстрации: 27 line drawings, black and white; 6 halftones, black and white; 33 illustrations, black and white
Размер: 199 x 250 x 25
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Economic statistics, BUSINESS & ECONOMICS / Finance,MATHEMATICS / General,MATHEMATICS / Probability & Statistics / General
Основная тема: Statistics for Business, Finance & Economics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book introduces the use of statistical concepts and methods to model and analyze financial data, including the market model, the single-index model, and factor models. It contains detailed numerical examples using genuine financial data along with numerous exercises including both questions requiring analytic solutions and those requiring data analysis.


Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

Introduction to the Mathematical and Statistical Foundations of Econometrics

Автор: Herman J. Bierens
Название: Introduction to the Mathematical and Statistical Foundations of Econometrics
ISBN: 0521542243 ISBN-13(EAN): 9780521542241
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, and more.

Introduction to Nonextensive Statistical Mechanics

Автор: Constantino Tsallis
Название: Introduction to Nonextensive Statistical Mechanics
ISBN: 0387853588 ISBN-13(EAN): 9780387853581
Издательство: Springer
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Цена: 11753.00 р.
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Описание: Metaphors, generalizations and unifications are natural and desirable ingredients of the evolution of scientific theories and concepts. This book focuses on nonextensive statistical mechanics, a generalization of Boltzmann-Gibbs (BG) statistical mechanics, one of the greatest monuments of contemporary physics.

An Introduction to the Bootstrap

Автор: Efron
Название: An Introduction to the Bootstrap
ISBN: 0412042312 ISBN-13(EAN): 9780412042317
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.

Introduction to Statistical Analysis of Laboratory Data

Автор: Alfred Bartolucci, Karan P. Singh, Sejong Bae
Название: Introduction to Statistical Analysis of Laboratory Data
ISBN: 1118736869 ISBN-13(EAN): 9781118736869
Издательство: Wiley
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Цена: 16466.00 р.
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Описание: Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis

  • Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process
  • Introduces terminology used in many applications such as the interpretation of assay design and validation as well as "fit for purpose" procedures including real world examples
  • Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities
  • Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation
  • Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions
Introduction to Probability with Statistical Applications

Автор: Schay G.
Название: Introduction to Probability with Statistical Applications
ISBN: 3319306189 ISBN-13(EAN): 9783319306186
Издательство: Springer
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Цена: 9362.00 р.
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Описание: Now inits second edition, this textbook serves as an introduction toprobability and statistics for non-mathematics majors who do not need theexhaustive detail and mathematical depth provided in more comprehensivetreatments of the subject. The presentation covers the mathematical laws ofrandom phenomena, including discrete and continuous random variables,expectation and variance, and common probability distributions such as thebinomial, Poisson, and normal distributions. More classical examples such asMontmort's problem, the ballot problem, and Bertrand’s paradox are nowincluded, along with applications such as the Maxwell-Boltzmann andBose-Einstein distributions in physics.Keyfeatures in new edition:* 35 newexercises* Expanded sectionon the algebra of sets *Expanded chapters on probabilities to include more classical examples* Newsection on regression* Onlineinstructors' manual containing solutions to all exercises

Concise Introduction to Statistical Inference

Автор: Thijssen Jacco
Название: Concise Introduction to Statistical Inference
ISBN: 1498755771 ISBN-13(EAN): 9781498755771
Издательство: Taylor&Francis
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Цена: 9645.00 р.
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Описание:

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses.

The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers.

Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.


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