Quantile Processes with Statistical Applications, Mikl?s Cs?rg?

Автор: Koenker
Название: Quantile Regression
ISBN: 0521845734 ISBN-13(EAN): 9780521845731
Издательство: Cambridge Academ
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Цена: 104550.00 T
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Автор: Vidyadhar S. Mandrekar
Название: Weak Convergence of Stochastic Processes: With Applications to Statistical Limit Theorems
ISBN: 3110475421 ISBN-13(EAN): 9783110475425
Издательство: Walter de Gruyter
Цена: 74320.00 T
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Описание: The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents:Weak convergence of stochastic processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,?)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography

Автор: Bernd Fitzenberger; Roger Koenker; Jose A.F. Macha
Название: Economic Applications of Quantile Regression
ISBN: 3790825026 ISBN-13(EAN): 9783790825022
Издательство: Springer
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Цена: 163040.00 T
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Описание: Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Автор: Gilchrist, Warren
Название: Statistical Modelling with Quantile Functions
ISBN: 0367398680 ISBN-13(EAN): 9780367398682
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание:

Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing populations. Since then, the authors of many papers, both theoretical and practical, have used various aspects of quantiles in their work. Until now, however, no one put all the ideas together to form what turns out to be a general approach to statistics.

Statistical Modelling with Quantile Functions does just that. It systematically examines the entire process of statistical modelling, starting with using the quantile function to define continuous distributions. The author shows that by using this approach, it becomes possible to develop complex distributional models from simple components. A modelling kit can be developed that applies to the whole model - deterministic and stochastic components - and this kit operates by adding, multiplying, and transforming distributions rather than data.

Statistical Modelling with Quantile Functions adds a new dimension to the practice of statistical modelling that will be of value to anyone faced with analyzing data. Not intended to replace classical approaches but to supplement them, it will make some of the traditional topics easier and clearer, and help readers build and investigate models for their own practical statistical problems.

Автор: Koenker, Roger
Название: Quantile regression
ISBN: 0521608279 ISBN-13(EAN): 9780521608275
Издательство: Cambridge Academ
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Цена: 40120.00 T
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Автор: Davino Cristina
Название: Quantile Regression
ISBN: 111997528X ISBN-13(EAN): 9781119975281
Издательство: Wiley
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Цена: 77030.00 T
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Описание: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods.

Автор: N. Unnikrishnan Nair; P.G. Sankaran; N. Balakrishn
Название: Quantile-Based Reliability Analysis
ISBN: 149395167X ISBN-13(EAN): 9781493951673
Издательство: Springer
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Цена: 55850.00 T
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Описание: This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysis of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics.

Автор: Jo?o Lita da Silva; Frederico Caeiro; Isabel Nat?r
Название: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
ISBN: 3642446299 ISBN-13(EAN): 9783642446290
Издательство: Springer
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Цена: 194730.00 T
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Описание: This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009.

Автор: Jo?o Lita da Silva; Frederico Caeiro; Isabel Nat?r
Название: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
ISBN: 364234903X ISBN-13(EAN): 9783642349034
Издательство: Springer
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Цена: 139750.00 T
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Описание: This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009.

Автор: Marvin Rausand
Название: System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition
ISBN: 047147133X ISBN-13(EAN): 9780471471332
Издательство: Wiley
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Цена: 162630.00 T
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Описание: An examination of system reliability theory, this title features in-depth discussion of dependability management and reliability centered systems as well as functional safety issues-matters critical to the IEC standards.

Автор: Schay G.
Название: Introduction to Probability with Statistical Applications
ISBN: 3319306189 ISBN-13(EAN): 9783319306186
Издательство: Springer
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Цена: 62410.00 T
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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

Автор: H.N. Nagaraja; Pranab K. Sen; Donald F. Morrison
Название: Statistical Theory and Applications
ISBN: 0387945911 ISBN-13(EAN): 9780387945910
Издательство: Springer
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Цена: 135090.00 T
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Описание: We are bringing out this volume in his honor to celebrate this occasion and to recognize his contributions to order statistics, biostatistics and design of experiments, among others; With great admiration, respect and pleasure we dedicate this festschrift to Professor Herbert A.