Bootstrap Prediction Intervals For Autoregressive Processes

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Bootstrap Methods

Author : Michael R. Chernick
Publisher : John Wiley & Sons
ISBN 13 : 1118211596
Total Pages : 337 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Bootstrap Methods by : Michael R. Chernick

Download or read book Bootstrap Methods written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2011-09-23 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a valuable collection of references on the latest research in the field A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data New examples and illustrations as well as extensive historical notes at the end of each chapter With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.

Model-Free Prediction and Regression

Author : Dimitris N. Politis
Publisher : Springer
ISBN 13 : 3319213474
Total Pages : 256 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Model-Free Prediction and Regression by : Dimitris N. Politis

Download or read book Model-Free Prediction and Regression written by Dimitris N. Politis and published by Springer. This book was released on 2015-11-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse settings such as regression and time series. Furthermore, the Model-Free Bootstrap takes us beyond point prediction in order to construct frequentist prediction intervals without resort to unrealistic assumptions such as normality. Prediction has been traditionally approached via a model-based paradigm, i.e., (a) fit a model to the data at hand, and (b) use the fitted model to extrapolate/predict future data. Due to both mathematical and computational constraints, 20th century statistical practice focused mostly on parametric models. Fortunately, with the advent of widely accessible powerful computing in the late 1970s, computer-intensive methods such as the bootstrap and cross-validation freed practitioners from the limitations of parametric models, and paved the way towards the `big data' era of the 21st century. Nonetheless, there is a further step one may take, i.e., going beyond even nonparametric models; this is where the Model-Free Prediction Principle is useful. Interestingly, being able to predict a response variable Y associated with a regressor variable X taking on any possible value seems to inadvertently also achieve the main goal of modeling, i.e., trying to describe how Y depends on X. Hence, as prediction can be treated as a by-product of model-fitting, key estimation problems can be addressed as a by-product of being able to perform prediction. In other words, a practitioner can use Model-Free Prediction ideas in order to additionally obtain point estimates and confidence intervals for relevant parameters leading to an alternative, transformation-based approach to statistical inference.

An Introduction to Bootstrap Methods with Applications to R

Author : Michael R. Chernick
Publisher : John Wiley & Sons
ISBN 13 : 1118625412
Total Pages : 318 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis An Introduction to Bootstrap Methods with Applications to R by : Michael R. Chernick

Download or read book An Introduction to Bootstrap Methods with Applications to R written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.

Forecasting: principles and practice

Author : Rob J Hyndman
Publisher : OTexts
ISBN 13 : 0987507117
Total Pages : 380 pages
Book Rating : 4.9/5 (875 download)

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Book Synopsis Forecasting: principles and practice by : Rob J Hyndman

Download or read book Forecasting: principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Time-Series Forecasting

Author : Chris Chatfield
Publisher : CRC Press
ISBN 13 : 1420036203
Total Pages : 281 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Time-Series Forecasting by : Chris Chatfield

Download or read book Time-Series Forecasting written by Chris Chatfield and published by CRC Press. This book was released on 2000-10-25 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the author of the bestselling "Analysis of Time Series," Time-Series Forecasting offers a comprehensive, up-to-date review of forecasting methods. It provides a summary of time-series modelling procedures, followed by a brief catalogue of many different time-series forecasting methods, ranging from ad-hoc methods through ARIMA and state-space

Empirical Economic and Financial Research

Author : Jan Beran
Publisher : Springer
ISBN 13 : 3319031228
Total Pages : 506 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Empirical Economic and Financial Research by : Jan Beran

Download or read book Empirical Economic and Financial Research written by Jan Beran and published by Springer. This book was released on 2014-11-07 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to establish a connection between the traditional field of empirical economic research and the emerging area of empirical financial research and to build a bridge between theoretical developments in these areas and their application in practice. Accordingly, it covers broad topics in the theory and application of both empirical economic and financial research, including analysis of time series and the business cycle; different forecasting methods; new models for volatility, correlation and of high-frequency financial data and new approaches to panel regression, as well as a number of case studies. Most of the contributions reflect the state-of-art on the respective subject. The book offers a valuable reference work for researchers, university instructors, practitioners, government officials and graduate and post-graduate students, as well as an important resource for advanced seminars in empirical economic and financial research.

New Directions in Neural Networks

Author : Bruno Apolloni
Publisher : IOS Press
ISBN 13 : 1586039849
Total Pages : 276 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis New Directions in Neural Networks by : Bruno Apolloni

Download or read book New Directions in Neural Networks written by Bruno Apolloni and published by IOS Press. This book was released on 2009 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of selected papers from the 18th WIRN workshop, the annual meeting of the Italian Neural Networks Society (SIREN). It is divided in two general subjects, 'models' and 'applications' and two specific ones, 'economy and complexity' and 'remote sensing image processing'.

COMPSTAT

Author : Jelke G. Bethlehem
Publisher : Springer Science & Business Media
ISBN 13 : 9783790813265
Total Pages : 556 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis COMPSTAT by : Jelke G. Bethlehem

Download or read book COMPSTAT written by Jelke G. Bethlehem and published by Springer Science & Business Media. This book was released on 2000-08-04 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the keynote, invited and full contributed papers presented at COMPSTAT 2000, held in Utrecht. The papers range over all aspects of the link between statistical theory and applied statistics, with special attention for developments in the area of official statistics. The papers have been thoroughly refereed.

Probability and Mathematical Statistics

Author :
Publisher :
ISBN 13 :
Total Pages : 430 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Probability and Mathematical Statistics by :

Download or read book Probability and Mathematical Statistics written by and published by . This book was released on 2005 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bootstrapping and Related Techniques

Author : Karl-Heinz Jöckel
Publisher : Springer Science & Business Media
ISBN 13 : 3642488501
Total Pages : 231 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Bootstrapping and Related Techniques by : Karl-Heinz Jöckel

Download or read book Bootstrapping and Related Techniques written by Karl-Heinz Jöckel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains 30 selected, refereed papers from an in- ternational conference on bootstrapping and related techni- ques held in Trier 1990. Thepurpose of the book is to in- form about recent research in the area of bootstrap, jack- knife and Monte Carlo Tests. Addressing the novice and the expert it covers as well theoretical as practical aspects of these statistical techniques. Potential users in different disciplines as biometry, epidemiology, computer science, economics and sociology but also theoretical researchers s- hould consult the book to be informed on the state of the art in this area.

Stochasticity, Nonlinearity and Forecasting of Streamflow Processes

Author : Wen Wang
Publisher : IOS Press
ISBN 13 : 9781586036218
Total Pages : 220 pages
Book Rating : 4.0/5 (362 download)

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Book Synopsis Stochasticity, Nonlinearity and Forecasting of Streamflow Processes by : Wen Wang

Download or read book Stochasticity, Nonlinearity and Forecasting of Streamflow Processes written by Wen Wang and published by IOS Press. This book was released on 2006 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streamflow forecasting is of great importance to water resources management and flood defense. On the other hand, a better understanding of the streamflow process is fundamental for improving the skill of streamflow forecasting. The methods for forecasting streamflows may fall into two general classes: process-driven methods and data-driven methods. Equivalently, methods for understanding streamflow processes may also be broken into two categories: physically-based methods and mathematically-based methods. This thesis focuses on using mathematically-based methods to analyze stochasticity and nonlinearity of streamflow processes based on univariate historic streamflow records, and presents data-driven models that are also mainly based on univariate streamflow time series. Six streamflow processes of five rivers in different geological regions are investigated for stochasticity and nonlinearity at several characteristic timescales.

The Bootstrap and Edgeworth Expansion

Author : Peter Hall
Publisher : Springer Science & Business Media
ISBN 13 : 146124384X
Total Pages : 359 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis The Bootstrap and Edgeworth Expansion by : Peter Hall

Download or read book The Bootstrap and Edgeworth Expansion written by Peter Hall and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses two quite different topics, each being able to shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account of Edgeworth expansion. The first two chapters deal with the bootstrap and Edgeworth expansion respectively, while chapters 3 and 4 bring these two themes together, using Edgeworth expansion to explore and develop the properties of the bootstrap. The book is aimed at graduate level for those with some exposure to the methods of theoretical statistics. However, technical details are delayed until the last chapter such that mathematically able readers without knowledge of the rigorous theory of probability will have no trouble understanding most of the book.

Handbook of Research Methods and Applications in Empirical Macroeconomics

Author : Nigar Hashimzade
Publisher : Edward Elgar Publishing
ISBN 13 : 0857931024
Total Pages : 627 pages
Book Rating : 4.8/5 (579 download)

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Book Synopsis Handbook of Research Methods and Applications in Empirical Macroeconomics by : Nigar Hashimzade

Download or read book Handbook of Research Methods and Applications in Empirical Macroeconomics written by Nigar Hashimzade and published by Edward Elgar Publishing. This book was released on 2013-01-01 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.

Unobserved Components and Time Series Econometrics

Author : Siem Jan Koopman
Publisher : Oxford University Press
ISBN 13 : 0191506575
Total Pages : 389 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Unobserved Components and Time Series Econometrics by : Siem Jan Koopman

Download or read book Unobserved Components and Time Series Econometrics written by Siem Jan Koopman and published by Oxford University Press. This book was released on 2015-11-19 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives. It also presents empirical studies where the UC time series methodology is adopted. Drawing on the intellectual influence of Andrew Harvey, the work covers three main topics: the theory and methodology for unobserved components time series models; applications of unobserved components time series models; and time series econometrics and estimation and testing. These types of time series models have seen wide application in economics, statistics, finance, climate change, engineering, biostatistics, and sports statistics. The volume effectively provides a key review into relevant research directions for UC time series econometrics and will be of interest to econometricians, time series statisticians, and practitioners (government, central banks, business) in time series analysis and forecasting, as well to researchers and graduate students in statistics, econometrics, and engineering.

Journal of the American Statistical Association

Author :
Publisher :
ISBN 13 :
Total Pages : 1800 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Journal of the American Statistical Association by :

Download or read book Journal of the American Statistical Association written by and published by . This book was released on 2006 with total page 1800 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Economic Forecasting

Author : G. Elliott
Publisher : Elsevier
ISBN 13 : 0080460674
Total Pages : 1071 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Handbook of Economic Forecasting by : G. Elliott

Download or read book Handbook of Economic Forecasting written by G. Elliott and published by Elsevier. This book was released on 2006-05-30 with total page 1071 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing.*Addresses economic forecasting methodology, forecasting models, forecasting with different data structures, and the applications of forecasting methods *Insights within this volume can be applied to economics, finance and marketing disciplines

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : José Ruiz-Shulcloper
Publisher : Springer
ISBN 13 : 3642418228
Total Pages : 591 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : José Ruiz-Shulcloper

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by José Ruiz-Shulcloper and published by Springer. This book was released on 2013-11-04 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.