Statistical Methods in the Atmospheric Sciences

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  • Publisher : Academic Press
  • Release : 04 July 2011
  • ISBN : 9780123850232
  • Page : 704 pages
  • Rating : 5/5 from 1 voters

Statistical Methods in the Atmospheric Sciences Book PDF summary

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

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Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Academic Press
  • Release Date : 2011-07-04
  • ISBN : 9780123850232
DOWNLOAD BOOKStatistical Methods in the Atmospheric Sciences

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.

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Academic Press
  • Release Date : 2011
  • ISBN : 9780123850225
DOWNLOAD BOOKStatistical Methods in the Atmospheric Sciences

This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The book will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Unknown
  • Release Date : 2011
  • ISBN : OCLC:1090049214
DOWNLOAD BOOKStatistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Elsevier
  • Release Date : 1995-03-01
  • ISBN : 0080541720
DOWNLOAD BOOKStatistical Methods in the Atmospheric Sciences

This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis.

Probability, Statistics, And Decision Making In The Atmospheric Sciences

Probability, Statistics, And Decision Making In The Atmospheric Sciences
  • Author : Allan Murphy,Richard W. Katz
  • Publisher : CRC Press
  • Release Date : 2019-07-11
  • ISBN : 9781000308204
DOWNLOAD BOOKProbability, Statistics, And Decision Making In The Atmospheric Sciences

Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. both in basic and applied research and in experimental and operational studies. Applications of such methodology can be found in almost every facet of the discipline. from the most theoretical and global (e.g., atmospheric predictability. global climate modeling) to the most practical and local (e.g., crop-weather modeling forecast evaluation). Almost every issue of the multitude of journals published by

Statistical Methods for Climate Scientists

Statistical Methods for Climate Scientists
  • Author : Timothy DelSole,Michael Tippett
  • Publisher : Cambridge University Press
  • Release Date : 2021-12-31
  • ISBN : 9781108472418
DOWNLOAD BOOKStatistical Methods for Climate Scientists

An accessible introduction to statistical methods for students in the climate sciences.

Statistical Data Analysis for Ocean and Atmospheric Sciences

Statistical Data Analysis for Ocean and Atmospheric Sciences
  • Author : H. Jean Thiebaux
  • Publisher : Elsevier
  • Release Date : 2013-10-22
  • ISBN : 9780080926292
DOWNLOAD BOOKStatistical Data Analysis for Ocean and Atmospheric Sciences

Studies of local and global phenomena generate descriptions which require statistical analysis. In this text, H. Jean Thiebaux presents a succinct yet comprehensive review of the fundamentals of statistics as they pertain to studies in oceanic and atmospheric sciences. The text includes an accompanying disk with compatible Minitab sample data. Together, this volume and the included data provide insights into the basics of statistical inference, data analysis, and distributional models of variability. Oceanographers, meteorologists, marine biologists, and other environmental scientists

Atmospheric Data Analysis

Atmospheric Data Analysis
  • Author : Roger Daley
  • Publisher : Cambridge University Press
  • Release Date : 1993-11-26
  • ISBN : 0521458250
DOWNLOAD BOOKAtmospheric Data Analysis

Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.

Statistical Analysis in Climate Research

Statistical Analysis in Climate Research
  • Author : Hans von Storch,Francis W. Zwiers
  • Publisher : Cambridge University Press
  • Release Date : 2002-02-21
  • ISBN : 9781139425094
DOWNLOAD BOOKStatistical Analysis in Climate Research

Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all

Statistical Methods for Physical Science

Statistical Methods for Physical Science
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 1994-12-13
  • ISBN : 0080860168
DOWNLOAD BOOKStatistical Methods for Physical Science

This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. Examines basic probability, including coverage of standard distributions, time series models,

Statistical Analysis of Climate Extremes

Statistical Analysis of Climate Extremes
  • Author : Anonim
  • Publisher : Cambridge University Press
  • Release Date : 2022-08-15
  • ISBN : 9781107033184
DOWNLOAD BOOKStatistical Analysis of Climate Extremes

Climate Time Series Analysis

Climate Time Series Analysis
  • Author : Manfred Mudelsee
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-08-26
  • ISBN : 9789048194827
DOWNLOAD BOOKClimate Time Series Analysis

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Methods and Applications of Statistics in the Atmospheric and Earth Sciences
  • Author : N. Balakrishnan
  • Publisher : John Wiley & Sons
  • Release Date : 2013
  • ISBN : 9780470503447
DOWNLOAD BOOKMethods and Applications of Statistics in the Atmospheric and Earth Sciences

"Presenting a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields, this comprehensive book unveils modern, approaches to the acquisition and analysis of data across diverse subject areas like geology, agriculture, animal science, and geophysics. It discusses techniques related to survey methodology, computational statistics, and operations research and covers new areas of interest like non-linear

Forecast Verification

Forecast Verification
  • Author : Ian T. Jolliffe,David B. Stephenson
  • Publisher : John Wiley & Sons
  • Release Date : 2003-08-01
  • ISBN : 9780470864418
DOWNLOAD BOOKForecast Verification

This handy reference introduces the subject of forecast verification and provides a review of the basic concepts, discussing different types of data that may be forecast. Each chapter covers a different type of predicted quantity (predictand), then looks at some of the relationships between economic value and skill scores, before moving on to review the key concepts and summarise aspects of forecast verification that receive the most attention in other disciplines. The book concludes with a discussion on the most

Statistical Methods for Environmental Pollution Monitoring

Statistical Methods for Environmental Pollution Monitoring
  • Author : Richard O. Gilbert
  • Publisher : John Wiley & Sons
  • Release Date : 1987-02-15
  • ISBN : 0471288780
DOWNLOAD BOOKStatistical Methods for Environmental Pollution Monitoring

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples