Автор: Elderton Название: Frequency Curves and Correlation ISBN: 1107601290 ISBN-13(EAN): 9781107601291 Издательство: Cambridge Academ Рейтинг: Цена: 2185 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Originally published in 1906 by C. & E. Layton, Limited, this work, with its many later improvements, became a standard textbook on curve-fitting and was several times reissued. Reprinted here is the 1953 fourth edition of the book, published by Cambridge University Press, and containing a preface by the author, Sir William Elderton, in which he comments on the changes that he introduced.

Автор: Quinn Название: The Estimation and Tracking of Frequency ISBN: 1107412854 ISBN-13(EAN): 9781107412859 Издательство: Cambridge Academ Рейтинг: Цена: 4162 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Many electronic and acoustic signals can be modelled as sums of sinusoids and noise. However, the amplitudes, phases and frequencies of the sinusoids are often unknown and must be estimated in order to characterise the periodicity or near-periodicity of a signal and consequently to identify its source. This 2001 book presents and analyses several practical techniques used for such estimation. The problem of tracking slow frequency changes over time of a very noisy sinusoid is also considered. Rigorous analyses are presented via asymptotic or large sample theory, together with physical insight. The book focuses on achieving extremely accurate estimates when the signal to noise ratio is low but the sample size is large. Each chapter begins with a detailed overview, and many applications are given. Matlab code for the estimation techniques is also included. The book will thus serve as an excellent introduction and reference for researchers analysing such signals.

Описание: This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web. Highlights include: -Illustrative examples using Mplus 7.4 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data. -Exercises with an answer key allow readers to practice the skills they learn. -Applications to a variety of disciplines appeal to those in the behavioral, social, political, educational, occupational, business, and health sciences. -Data files for all the illustrative examples and exercises at www.routledge.com/9781138925151 allow readers to test their understanding of the concepts. -Point to Remember boxes aid in reader comprehension or provide in-depth discussions of key statistical or theoretical concepts. Part 1 introduces basic structural equation modeling (SEM) as well as first- and second-order growth curve modeling. The book opens with the basic concepts from SEM, possible extensions of conventional growth curve models, and the data and measures used throughout the book. The subsequent chapters in part 1 explain the extensions. Chapter 2 introduces conventional modeling of multidimensional panel data, including confirmatory factor analysis (CFA) and growth curve modeling, and its limitations. The logical and theoretical extension of a CFA to a second-order growth curve, known as curve-of-factors model (CFM), are explained in Chapter 3. Chapter 4 illustrates the estimation and interpretation of unconditional and conditional CFMs. Chapter 5 presents the logical and theoretical extension of a parallel process model to a second-order growth curve, known as factor-of-curves model (FCM). Chapter 6 illustrates the estimation and interpretation of unconditional and conditional FCMs. Part 2 reviews growth mixture modeling including unconditional growth mixture modeling (Ch. 7) and conditional growth mixture models (Ch. 8). How to extend second-order growth curves (curve-of-factors and factor-of-curves models) to growth mixture models is highlighted in Chapter 9. Ideal as a supplement for use in graduate courses on (advanced) structural equation, multilevel, longitudinal, or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) taught in psychology, human development and family studies, business, education, health, and social sciences, this book’s practical approach also appeals to researchers. Prerequisites include a basic knowledge of intermediate statistics and structural equation modeling.

Описание: How does mathematics enable us to send pictures from space back to Earth? Where does the bell-shaped curve come from? Drawing on areas of mathematics from probability theory, number theory, and geometry, this work highlights how ideas, mostly from pure math, can answer these questions. It includes puzzles and problems of varying difficulty.

Автор: J. R. M. Hosking Название: Regional Frequency Analysis ISBN: 0521019400 ISBN-13(EAN): 9780521019408 Издательство: Cambridge Academ Рейтинг: Цена: 5203 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional frequency analysis helps to solve the problem of estimating the frequency of these rare events at one site, by using data from several sites. This book is the first complete account of the L-moment approach to regional frequency analysis. Regional Frequency Analysis comprehensively describes the theoretical background to the subject, is rich in practical advice for users, and contains detailed examples that illustrate the approach. This book will be of great value to hydrologists, atmospheric scientists and civil engineers, concerned with environmental extremes.

Автор: Ramazan Gen?§ay Название: An Introduction to High-Frequency Finance, ISBN: 0122796713 ISBN-13(EAN): 9780122796715 Издательство: Elsevier Science Рейтинг: Цена: 9345 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides a framework for the analysis, modelling, and inference of high-frequency financial time series. Emphasizing foreign exchange markets, currency, interest rate and bond futures markets, it investigates price formation processes and reviews systematic trading models for financial assets.

Автор: Quinn Название: The Estimation and Tracking of Frequency ISBN: 0521804469 ISBN-13(EAN): 9780521804462 Издательство: Cambridge Academ Рейтинг: Цена: 8535 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Practical techniques for estimating frequencies of signals. Includes Matlab code. For researchers.

Автор: Baayen R. Harald Название: Word Frequency Distributions ISBN: 1402009275 ISBN-13(EAN): 9781402009273 Издательство: Springer Рейтинг: Цена: 6073 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.

Автор: Baayen R. Harald Название: Word Frequency Distributions ISBN: 0792370171 ISBN-13(EAN): 9780792370178 Издательство: Springer Рейтинг: Цена: 13089 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.

Название: ROC Curves for Continuous Data ISBN: 1439800219 ISBN-13(EAN): 9781439800218 Издательство: Taylor&Francis Рейтинг: Цена: 7314 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Bringing together relevant material to impart a clear understanding of how to analyze ROC curves, this book covers the fundamental theory as well as various special topics. It offers illustrative examples of the major methodological developments and includes as much of the mathematical theory as necessary without making the treatment too dense.

Автор: Wickrama Kandauda A S Название: Higher-Order Growth Curves and Mixture Modeling with Mplus ISBN: 1138925152 ISBN-13(EAN): 9781138925151 Издательство: Taylor&Francis Рейтинг: Цена: 4388 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web. Highlights include: -Illustrative examples using Mplus 7.4 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data. -Exercises with an answer key allow readers to practice the skills they learn. -Applications to a variety of disciplines appeal to those in the behavioral, social, political, educational, occupational, business, and health sciences. -Data files for all the illustrative examples and exercises at www.routledge.com/9781138925151 allow readers to test their understanding of the concepts. -Point to Remember boxes aid in reader comprehension or provide in-depth discussions of key statistical or theoretical concepts. Part 1 introduces basic structural equation modeling (SEM) as well as first- and second-order growth curve modeling. The book opens with the basic concepts from SEM, possible extensions of conventional growth curve models, and the data and measures used throughout the book. The subsequent chapters in part 1 explain the extensions. Chapter 2 introduces conventional modeling of multidimensional panel data, including confirmatory factor analysis (CFA) and growth curve modeling, and its limitations. The logical and theoretical extension of a CFA to a second-order growth curve, known as curve-of-factors model (CFM), are explained in Chapter 3. Chapter 4 illustrates the estimation and interpretation of unconditional and conditional CFMs. Chapter 5 presents the logical and theoretical extension of a parallel process model to a second-order growth curve, known as factor-of-curves model (FCM). Chapter 6 illustrates the estimation and interpretation of unconditional and conditional FCMs. Part 2 reviews growth mixture modeling including unconditional growth mixture modeling (Ch. 7) and conditional growth mixture models (Ch. 8). How to extend second-order growth curves (curve-of-factors and factor-of-curves models) to growth mixture models is highlighted in Chapter 9. Ideal as a supplement for use in graduate courses on (advanced) structural equation, multilevel, longitudinal, or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) taught in psychology, human development and family studies, business, education, health, and social sciences, this book’s practical approach also appeals to researchers. Prerequisites include a basic knowledge of intermediate statistics and structural equation modeling.

Автор: Gr?chenig Название: Foundations of Time-Frequency Analysis ISBN: 0817640223 ISBN-13(EAN): 9780817640224 Издательство: Springer Рейтинг: Цена: 12233 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This work presents a systematic introduction to time-frequency analysis understood as a central area of applied harmonic analysis, while at the same time
honouring its interdisciplinary origins. Important principles include: classic Fourier analysis as a tool that is central in modern mathematics; the mathematical structures based on the
operations of translation and modulations (i.e: the Heisenberg group); the many forms of the uncertainty principle; and the omnipresence of Gaussian functions, both in the methodology
of proofs and in important statements.

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