Download or read book Stochastic Processes written by Malempati M. Rao and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: The material accumulated and presented in this volume can be ex plained easily. At the start of my graduate studies in the early 1950s, I Grenander's (1950) thesis, and was much attracted to the came across entire subject considered there. I then began preparing for the neces sary mathematics to appreciate and possibly make some contributions to the area. Thus after a decade of learning and some publications on the way, I wanted to write a modest monograph complementing Grenander's fundamental memoir. So I took a sabbatical leave from my teaching position at the Carnegie-Mellon University, encouraged by an Air Force Grant for the purpose, and followed by a couple of years more learning opportunity at the Institute for Advanced Study to complete the project. As I progressed, the plan grew larger needing a substantial background material which was made into an independent initial volume in (1979). In its preface I said: "My intension was to present the following material as the first part of a book treating the In ference Theory of stochastic processes, but the latter account has now receded to a distant future," namely for two more decades! Meanwhile, a much enlarged second edition of that early work has appeared (1995), and now I am able to present the main part of the original plan.
Download or read book Introduction to Statistical Time Series written by Wayne A. Fuller and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of time series is of considerable interest, especiallyamong researchers in econometrics, engineering, and the naturalsciences. As part of the prestigious Wiley Series in Probabilityand Statistics, this book provides a lucid introduction to thefield and, in this new Second Edition, covers the importantadvances of recent years, including nonstationary models, nonlinearestimation, multivariate models, state space representations, andempirical model identification. New sections have also been addedon the Wold decomposition, partial autocorrelation, long memoryprocesses, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material,especially on elementary results in Fourier analysis, large samplestatistics, and difference equations, has been included.
Download or read book Short Memory Linear Processes and Econometric Applications written by Kairat T. Mynbaev and published by John Wiley & Sons. This book was released on 2011-05-23 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a comprehensive source of asymptotic results for econometric models with deterministic exogenous regressors. Such regressors include linear (more generally, piece-wise polynomial) trends, seasonally oscillating functions, and slowly varying functions including logarithmic trends, as well as some specifications of spatial matrices in the theory of spatial models. The book begins with central limit theorems (CLTs) for weighted sums of short memory linear processes. This part contains the analysis of certain operators in Lp spaces and their employment in the derivation of CLTs. The applications of CLTs are to the asymptotic distribution of various estimators for several econometric models. Among the models discussed are static linear models with slowly varying regressors, spatial models, time series autoregressions, and two nonlinear models (binary logit model and nonlinear model whose linearization contains slowly varying regressors). The estimation procedures include ordinary and nonlinear least squares, maximum likelihood, and method of moments. Additional topical coverage includes an introduction to operators, probabilities, and linear models; Lp-approximable sequences of vectors; convergence of linear and quadratic forms; regressions with slowly varying regressors; spatial models; convergence; nonlinear models; and tools for vector autoregressions.
Download or read book Stochastic Processes Inference Theory written by Malempati M. Rao and published by Springer. This book was released on 2014-11-14 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the revised and enlarged 2nd edition of the authors’ original text, which was intended to be a modest complement to Grenander's fundamental memoir on stochastic processes and related inference theory. The present volume gives a substantial account of regression analysis, both for stochastic processes and measures, and includes recent material on Ridge regression with some unexpected applications, for example in econometrics. The first three chapters can be used for a quarter or semester graduate course on inference on stochastic processes. The remaining chapters provide more advanced material on stochastic analysis suitable for graduate seminars and discussions, leading to dissertation or research work. In general, the book will be of interest to researchers in probability theory, mathematical statistics and electrical and information theory.
Download or read book Time Series in the Time Domain written by Edward James Hannan and published by North Holland. This book was released on 1985 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardbound. In this volume prominent workers in the field discuss various time series methods in the time domain. The topics included are autoregressive-moving average models, control, estimation, identification, model selection, non-linear time series, non-stationary time series, prediction, robustness, sampling designs, signal attenuation, and speech recognition. This volume complements Handbook of Statistics 3: Time Series in the Frequency Domain.
Download or read book MRC Technical Summary Report written by United States. Army. Mathematics Research Center and published by . This book was released on 1976 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Toward a Formal Science of Economics written by Bernt P. Stigum and published by MIT Press. This book was released on 1990 with total page 1068 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumer Law and Practice provides undergraduate students and those studying the LPC with concise yet comprehensive guidance. It is also a useful aid for practitioners (including those advising businesses) and non-lawyers requiring information which can be quickly understood. Using an innovative problem-solving approach to the subject, we focus on situations in which clients may find themselves and explain how the law deals with such situations. "Between the covers is a mine of information clearly and accurately set out ... a valuable tool for non-specialist and specialist alike." The Law Society's Gazette
Download or read book Government Reports Announcements written by and published by . This book was released on 1974 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Wisconsin Public Documents written by and published by . This book was released on 1974 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods of Econometrics written by Edmond Malinvaud and published by North Holland. This book was released on 1980 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardbound. This now classic volume aims at a systematic presentation of the statistical methods used for the analysis of economic data. The properties of the various procedures are studied within the framework of theoretical stochastic models. Their relevance for inference on the economic phenomena is discussed at length. This third edition has been updated in many respects. Chapter 8 (Regression in Various Contexts) has been rewritten and now provides a full discussion of estimation in the linear models with a partially unknown covariance matrix, which introduces a systematic treatment of heteroscedasticity, random coefficients and composite errors. A new chapter has been added on simultaneous equation models that are non-linear with respect to the endogenous variables. The reader will also find new sections on shrunken estimators, on the choice of a model, on specification and estimation for distributed lag equations.
Download or read book Dynamic Factor Models written by Siem Jan Koopman and published by Emerald Group Publishing. This book was released on 2016-01-08 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Download or read book Mathematical Reviews written by and published by . This book was released on 1993 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1994 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling Univariate and Multiple Time Series written by Ruey Shiong Tsay and published by . This book was released on 1982 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling and Stochastic Learning for Forecasting in High Dimensions written by Anestis Antoniadis and published by Springer. This book was released on 2015-06-04 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for Forecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis.
Download or read book Exercises in Econometrics written by P. C. B. Phillips and published by . This book was released on 1978 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Econometric Foundations Pack with CD ROM written by Ron Mittelhammer (Prof.) and published by Cambridge University Press. This book was released on 2000-07-28 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text and accompanying CD-ROM develop step by step a modern approach to econometric problems. They are aimed at talented upper-level undergraduates, graduate students, and professionals wishing to acquaint themselves with the pinciples and procedures for information processing and recovery from samples of economic data. The text fully provides an operational understanding of a rich set of estimation and inference tools, including tradional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjuction with the computer to address economic problems.
