Описание: This book provides an accessible, serious, and multivariate introduction to the central limit theorem of random variables that lies at the heart of probability and statistics. Practical applications of stable random variables are showcased.
Автор: Zaven A. Karian and Edward J. Dudewicz Название: Handbook of Fitting Statisitical Distributions with R ISBN: 1584887117 ISBN-13(EAN): 9781584887119 Издательство: Taylor&Francis Рейтинг: Цена: 24684 р. Наличие на складе: Поставка под заказ.
Описание: Featuring examples taken from the scientific literature, this book provides statisticians and researchers across the physical and social sciences with methods for fitting continuous probability distributions. It presents families with wide-ranging applicability, including Johnson`s system, kappa distribution, and generalized lambda distribution.
Автор: S.T Rachev Название: Handbook of Heavy Tailed Distributions in Finance,1 ISBN: 0444508961 ISBN-13(EAN): 9780444508966 Издательство: Elsevier Science Рейтинг: Цена: 22127 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended for finance and economics professors and lecturers, professional researchers, and graduate students, this volume presents research focusing on heavy tailed distributions in finance. It covers methodological issues, as well as the applications of the stable and other non-Gaussian models in finance and risk management.
Автор: Manski Charles F. Название: Partial Identification of Probability Distributions ISBN: 0387004548 ISBN-13(EAN): 9780387004549 Издательство: Springer Рейтинг: Цена: 19304 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the studies of identification that aim to characterize the conclusions that one could draw about a population of interest if one were able to observe a sample of unlimited size generated by a specified sampling process. This book is suitable for PhD students and practicing statisticians and econometricians.
Автор: Marshall Название: Life Distributions ISBN: 0387203338 ISBN-13(EAN): 9780387203331 Издательство: Springer Рейтинг: Цена: 34696 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For over 200 years, practitioners have been developing parametric families of probability distributions for data analysis. This book includes a discussion of a wide variety of distribution families - nonparametric, semiparametric and parametric - some well known and some not. It is suitable for those who are working with nonnegative data.
Автор: Baayen R. Harald Название: Word Frequency Distributions ISBN: 1402009275 ISBN-13(EAN): 9781402009273 Издательство: Springer Рейтинг: Цена: 13364 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics. Word frequency distributions are characterized by very large numbers of rare words. This property leads to strange phenomena such as mean frequencies that systematically change as the number of observations is increased, relative frequencies that even in large samples are not fully reliable estimators of population probabilities, and model parameters that vary with text or corpus size. Special statistical techniques for the analysis of distributions with large numbers of rare events can be found in various technical journals. The aim of this book is to make these techniques more accessible for non-specialists, both theoretically, by means of a careful introduction to the underlying probabilistic and statistical concepts, and practically, by providing a program library implementing the main models for word frequency distributions.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Описание: Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.
Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.
Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.
Описание: There have been many advances in the theory and applications of discrete distributions in recent years. They can be applied to a wide range of problems, particularly in the health sciences, although a good understanding of their properties is very important. Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models. Provides an overview of discrete distributions and their applications in the health sciences. Focuses on real examples, giving readers an insight into the utility of the models. Describes the properties of each distribution, and the methods that led to their development. Presents a range of examples from the health sciences, including cancer, epidemiology, and demography. Features discussion of software implementation -- in SAS, Fortran and R -- enabling readers to apply the methods to their own problems. Written in an accessible style, suitable for applied statisticians and numerate health scientists. Software and data sets are made available on the Web. Discrete Distributions: Applications in the Health Sciences provides a practical introduction to these powerful statistical tools and their applications, suitable for researchers and graduate students from statistics and biostatistics. The focus on applications, and the accessible style of the book, make it an excellent practical reference source for practitioners from the health sciences.
Автор: Koch Название: Analysis of Multivariate and High-Dimensional Data ISBN: 0521887933 ISBN-13(EAN): 9780521887939 Издательство: Cambridge Academ Рейтинг: Цена: 10845 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduate students in statistics and researchers in data-rich disciplines.
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