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Author : James E. Person (Jr.),Sean R. Pollock
Publisher : Gale Research International, Limited
Page : 856 pages
File Size : 53,7 Mb
Release : 1993
Category : Business & Economics
ISBN : UOM:49015002862341
Author : Juha Alho,Bruce Spencer
Publisher : Springer Science & Business Media
Page : 432 pages
File Size : 55,9 Mb
Release : 2006-05-27
Category : Social Science
ISBN : 9780387283920
Provides a unique introduction to demographic problems in a familiar language. Presents a unified statistical outlook on both classical methods of demography and recent developments. Exercises are included to facilitate its classroom use. Both authors have contributed extensively to statistical demography and served in advisory roles and as statistical consultants in the field.
Author : Juha Alho,Bruce Spencer
Publisher : Springer Science & Business Media
Page : 444 pages
File Size : 40,8 Mb
Release : 2005-07-01
Category : Social Science
ISBN : 0387225382
Provides a unique introduction to demographic problems in a familiar language. Presents a unified statistical outlook on both classical methods of demography and recent developments. Exercises are included to facilitate its classroom use. Both authors have contributed extensively to statistical demography and served in advisory roles and as statistical consultants in the field.
Author : United States. Bureau of Labor Statistics
Publisher : Unknown
Page : 740 pages
File Size : 50,8 Mb
Release : 1957
Category : Employment forecasting
ISBN : IND:30000089076727
Author : Ching-Yao Chu
Publisher : Unknown
Page : 90 pages
File Size : 41,7 Mb
Release : 1948
Category : Electronic
ISBN : WISC:89086026481
Author : Stéphane Vannitsem,Daniel S. Wilks,Jakob Messner
Publisher : Elsevier
Page : 362 pages
File Size : 44,7 Mb
Release : 2018-05-17
Category : Science
ISBN : 9780128122488
Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place Provides real-world examples of methods used to formulate forecasts Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner
Author : United States. Navy. Weather Research Facility,Thomas H. R. O'Neill
Publisher : Unknown
Page : 44 pages
File Size : 48,5 Mb
Release : 1963
Category : Numerical weather forecasting
ISBN : UOM:39015007659223
This work presents the history of the use of statistics in weather forecasting and describes the evolution of the more important statistical methods in this field: graphical techniques, periodicity, empirical orthogonal functions, and multiple discriminant analysis. A bibliography consisting of 141 references, divided by topics, and an appendix listing these references chronologically are included. (Author).
Author : Rob J Hyndman,George Athanasopoulos
Publisher : OTexts
Page : 380 pages
File Size : 54,5 Mb
Release : 2018-05-08
Category : Business & Economics
ISBN : 9780987507112
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.
Author : OECD
Publisher : OECD Publishing
Page : 412 pages
File Size : 43,5 Mb
Release : 2011-07-18
Category : Electronic
ISBN : 9264063471
In addition to the usual macroeconomic and country assessments and statistical annex with projection data, this issue of the OECD Economic Outlook also includes special chapters on the persistence of high unemployment and drivers and vulnerabilities associated with international capital flows.
Author : National Intelligence Council
Publisher : Cosimo Reports
Page : 158 pages
File Size : 43,6 Mb
Release : 2021-03
Category : Electronic
ISBN : 1646794974
"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.
Author : Daniel S. Wilks
Publisher : Academic Press
Page : 704 pages
File Size : 42,9 Mb
Release : 2011-07-04
Category : Science
ISBN : 9780123850232
Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines. In this new edition, what was a single chapter on multivariate statistics has been expanded to a full six chapters on this important topic. Other chapters have also been revised and cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, and time series analysis. There is now an expanded treatment of resampling tests and key analysis techniques, an updated discussion on ensemble forecasting, and a detailed chapter on forecast verification. In addition, the book includes new sections on maximum likelihood and on statistical simulation and contains current references to original research. Students will benefit from pedagogical features including worked examples, end-of-chapter exercises with separate solutions, and numerous illustrations and equations. This book will be of interest to researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines. Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting Many worked examples End-of-chapter exercises, with answers provided
Author : United States. Department of Agriculture
Publisher : Unknown
Page : 540 pages
File Size : 40,5 Mb
Release : 1991
Category : Agriculture
ISBN : MINN:30000002647380
Author : Bovas Abraham,Johannes Ledolter
Publisher : John Wiley & Sons
Page : 474 pages
File Size : 47,7 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317297
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book, it must be said, lives up to the words on its advertising cover: 'Bridging the gap between introductory, descriptive approaches and highly advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of forecasting tools, and explains how they relate to one another, both in theory and practice.' It does just that!" -Journal of the Royal Statistical Society "A well-written work that deals with statistical methods and models that can be used to produce short-term forecasts, this book has wide-ranging applications. It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates." -Choice Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.
Author : Anonim
Publisher : Unknown
Page : 248 pages
File Size : 46,5 Mb
Release : 1986
Category : Energy consumption
ISBN : MINN:31951D02403023K
Author : International Monetary Fund. Research Dept.
Publisher : International Monetary Fund
Page : 208 pages
File Size : 48,9 Mb
Release : 2019-10-15
Category : Business & Economics
ISBN : 9781513516172
Global growth is forecast at 3.0 percent for 2019, its lowest level since 2008–09 and a 0.3 percentage point downgrade from the April 2019 World Economic Outlook.
