Multivariate Time Series Analyses For Psychological Research
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Multivariate Time Series Analyses For Psychological Research
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Author : Tatjana Stadnitski
language : en
Publisher:
Release Date : 2013
Multivariate Time Series Analyses For Psychological Research written by Tatjana Stadnitski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Longitudinal Multivariate Psychology
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Author : Emilio Ferrer
language : en
Publisher: Routledge
Release Date : 2018-10-09
Longitudinal Multivariate Psychology written by Emilio Ferrer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-09 with Psychology categories.
This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.
Multivariate Time Series Analysis And Applications
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Author : William W. S. Wei
language : en
Publisher: John Wiley & Sons
Release Date : 2018-12-31
Multivariate Time Series Analysis And Applications written by William W. S. Wei and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Mathematics categories.
An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis—Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis,this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, space-time series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series. With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis. Written by bestselling author and leading expert in the field Covers topics not yet explored in current multivariate books Features classroom tested material Written specifically for time series courses Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering.
Multivariate Time Series Analysis
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Author : Ruey S. Tsay
language : en
Publisher: John Wiley & Sons
Release Date : 2013-11-11
Multivariate Time Series Analysis written by Ruey S. Tsay and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.
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. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differing from the traditional approach to multivariate time series, the book focuses on reader comprehension by emphasizing structural specification, which results in simplified parsimonious VAR MA modeling. Multivariate Time Series Analysis: With R and Financial Applications utilizes the freely available R software package to explore complex data and illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR MA time series and models, unitroot process, factor models, and factor-augmented VAR models, the book includes: • Over 300 examples and exercises to reinforce the presented content • User-friendly R subroutines and research presented throughout to demonstrate modern applications • Numerous datasets and subroutines to provide readers with a deeper understanding of the material Multivariate Time Series Analysis is an ideal textbook for graduate-level courses on time series and quantitative finance and upper-undergraduate level statistics courses in time series. The book is also an indispensable reference for researchers and practitioners in business, finance, and econometrics.
Time Series
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Author : David R. Brillinger
language : en
Publisher:
Release Date : 1981
Time Series written by David R. Brillinger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Mathematics categories.
The nature of time series and their frequency analysis. Foundations. Analytic properties of fourier transforms and complex matrices. Stochastic properties of finite fourier transforms. The estimation of power spectra. Analysis of a linear time invariant relation between a stochastic series and several deterministic series. Estimating the second-order spectra of vector-valued series. Analysis of a linear time invariant between two vector-valued stochastic series. Principal components in the frequency domain. The canonical analysis of time series. Proofs of theorems.
Multivariate Analysis Techniques For Educational And Psychological Research
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Author : Maurice M. Tatsuoka
language : en
Publisher:
Release Date : 1971
Multivariate Analysis Techniques For Educational And Psychological Research written by Maurice M. Tatsuoka and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.
An Introduction To Time Series Analysis And Forecasting
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Author : Robert A. Yaffee
language : en
Publisher: Academic Press
Release Date : 2000-04-27
An Introduction To Time Series Analysis And Forecasting written by Robert A. Yaffee and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-27 with Mathematics categories.
A time series is a set of repeated measurements of the same phenomenon taken sequentially over time. Capturing the data creates a time series "memory" to document correlations or lack, and to help them make decisions based on this data.
Multivariate Applications In The Social Sciences
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Author : N. Hirschberg
language : en
Publisher: Psychology Press
Release Date : 2014-01-14
Multivariate Applications In The Social Sciences written by N. Hirschberg and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-14 with Psychology categories.
First published in 1982. Textbooks in multivariate methods proliferate, but there are few books concerned with their application. Experimental psychology and its associated method of statistical data analysis, analysis of variance, has tended to dominate psychological thinking even in such areas as social and clinical psychology, two areas that are particularly ill-suited to simple analysis-of-variance statistical models. The recent emphasis of clinical and social psychology on applied research relevant to social problems requires that more attention be paid to multivariate methods and appropriate research designs. this book illustrates and examines the multivariate approach alone, this does not imply that a multivariate approach combined with an experimental approach would not in the long run provide the best overall research design. The present collection of multivariate applications introduces some of the kinds of research problem that can be tackled by means of multivariate statistical analysis.
Analysis Of Longitudinal Data In Behavioural And Social Research
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Author : Ronald A. Visser
language : en
Publisher: Dswo Press
Release Date : 1985
Analysis Of Longitudinal Data In Behavioural And Social Research written by Ronald A. Visser and has been published by Dswo Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Social Science categories.
Multivariate Tests For Time Series Models
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Author : Jeff B. Cromwell
language : en
Publisher: SAGE
Release Date : 1994
Multivariate Tests For Time Series Models written by Jeff B. Cromwell and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Social sciences categories.
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests.