Methods And Applications Of Statistics In The Atmospheric And Earth Sciences

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 53,9 Mb
Release : 2012-11-19
Category : Mathematics
ISBN : 9780470503447

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Methods and Applications of Statistics in the Atmospheric and Earth Sciences by Narayanaswamy Balakrishnan Pdf

Explore the classic and cutting-edge quantitative methods for understanding environmental science research Based on the multifaceted 16-volume Encyclopedia of Statistical Sciences, Second Edition, Methods and Applications of Statistics in the Atmospheric and Earth Sciences offers guidance on the application of statistical methods for conducting research in these fields of study. With contributions from more than 100 leading experts in academia and industry, this volume combines key articles from the Encyclopedia with newly developed topics addressing some of the more critical issues, including pollution, droughts, and volcanic activity. Readers will gain a thorough understanding of cutting-edge methods for the acquisition and analysis of data across a wide range of subject areas, from geophysics, geology, and biogeography to meteorology, forestry, agriculture, animal science, and ornithology. The book features new and updated content on quantitative methods and their use in understanding the latest topics in social research, including: Drought Analysis and Forecasting Childhood Obesity Ranked Set Sampling Methodology for Environmental Data Species Richness and Shared Species Richness Geographic Information Systems Each contribution offers authoritative yet easily accessible coverage of statistical concepts. With updated references and discussion of emerging topics, readers are provided with the various statistical methods, techniques, strategies, and applications that are essential for tackling critical issues in environmental science research. Featuring a balance of classical and cutting-edge methodologies, Methods and Applications of Statistics in the Atmospheric and Earth Sciences is an excellent resource for researchers, professionals, and students in the fields of sociology, psychology, philosophy, education, political science, and the related disciplines who would like to learn about the uses of statistics in gathering, reporting, and analyzing data.

Author : N. Balakrishnan
Publisher : Unknown
Page : 128 pages
File Size : 46,7 Mb
Release : 2013
Category : MATHEMATICS
ISBN : 1118452070

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Methods and Applications of Statistics in the Atmospheric and Earth Sciences by N. Balakrishnan Pdf

"Provides a realistic alternative to the individual user who would like a quick reference containing encyclopedic information that pertains to their particular research interests and needs"--

Author : Daniel S. Wilks
Publisher : Academic Press
Page : 704 pages
File Size : 42,6 Mb
Release : 2011-07-04
Category : Science
ISBN : 9780123850232

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Statistical Methods in the Atmospheric Sciences by Daniel S. Wilks Pdf

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 : Andrew T. Walden,Peter Guttorp
Publisher : Hodder Education
Page : 330 pages
File Size : 41,8 Mb
Release : 1992
Category : Mathematics
ISBN : UOM:39015029551283

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Statistics in the Environmental & Earth Sciences by Andrew T. Walden,Peter Guttorp Pdf

Author : Daniel S. Wilks
Publisher : Elsevier
Page : 840 pages
File Size : 50,7 Mb
Release : 2019-06-09
Category : Computers
ISBN : 9780128165270

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Statistical Methods in the Atmospheric Sciences by Daniel S. Wilks Pdf

Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting. Provides a strong, yet concise, introduction to applied statistics that is specific to atmospheric science Contains revised and expanded sections on nonparametric tests, test multiplicity and quality uncertainty descriptors Includes new sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting and exponential smoothing

Author : John H. Schuenemeyer,Lawrence J. Drew
Publisher : John Wiley & Sons
Page : 341 pages
File Size : 51,7 Mb
Release : 2011-04-12
Category : Mathematics
ISBN : 9781118102213

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Statistics for Earth and Environmental Scientists by John H. Schuenemeyer,Lawrence J. Drew Pdf

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.

Author : Daniel S. Wilks
Publisher : Elsevier
Page : 467 pages
File Size : 41,7 Mb
Release : 1995-03-01
Category : Mathematics
ISBN : 0080541720

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Statistical Methods in the Atmospheric Sciences by Daniel S. Wilks Pdf

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. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth. Key Features * Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting * Includes extensive and up-to-date references * Features numerous worked examples and exercises * Contains over 130 illustrations

Author : Allan Murphy,Richard W. Katz
Publisher : CRC Press
Page : 547 pages
File Size : 55,9 Mb
Release : 2019-07-11
Category : Mathematics
ISBN : 9781000236323

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Probability, Statistics, And Decision Making In The Atmospheric Sciences by Allan Murphy,Richard W. Katz Pdf

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 the atmospheric sciences community now contain some or more papers involving applications of concepts and/or methodology from the fields of probability and statistics. Despite the increasingly pervasive nature of such applications. very few book length treatments of probabilistic and statistical topics of particular interest to atmospheric scientists have appeared (especially inEnglish) since the publication of the pioneering works of Brooks andCarruthers (Handbook of Statistical Methods in Meteorology) in 1953 and Panofsky and Brier-(some Applications of)statistics to Meteor) in 1958. As a result. many relatively recent developments in probability and statistics are not well known to atmospheric scientists and recent work in active areas of meteorological research involving significant applications of probabilistic and statistical methods are not familiar to the meteorological community as a whole.

Author : Timothy DelSole,Michael Tippett
Publisher : Cambridge University Press
Page : 545 pages
File Size : 42,5 Mb
Release : 2022-02-24
Category : Mathematics
ISBN : 9781108472418

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Statistical Methods for Climate Scientists by Timothy DelSole,Michael Tippett Pdf

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

Author : F. P. Agterberg,Graeme Bonham-Carter
Publisher : Energy, Mines and Resources Canada
Page : 608 pages
File Size : 48,7 Mb
Release : 1990
Category : Science
ISBN : UIUC:30112026976545

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Statistical Applications in the Earth Sciences by F. P. Agterberg,Graeme Bonham-Carter Pdf

Collection of papers presented at the Colloquium, covering the broad subject areas of spatial data integration, statistical analysis of geoscience data, and quantitative stratigraphy. Working Group reports are included as well.

Author : Jacek Fabian
Publisher : Unknown
Page : 290 pages
File Size : 52,6 Mb
Release : 2016-08-01
Category : Electronic
ISBN : 1681175711

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Statistics for Earth and Environmental Scientists by Jacek Fabian Pdf

Earth scientists are often involved in taking observations on the earth's surface and its interior. Earth scientists are confronted with many challenges. Phenomena of interest are often deep within the earth surface, in oceans, or in the atmosphere. Collecting data often is costly, time consuming, and hampered by limited access. Geologic events occur at irregular intervals, often widely spaced. Decisions made on the basis of studies in the earth sciences can have significant long term consequences. An understanding of data used in decision making is critical. Exploratory data analysis provides insight into data quality, variability, and structure. Constructing models provides a basis for understanding complex geologic processes and for making inferences. Since earth scientists depend largely on observations, particularly on observations where there is a large portion of uncertainty, Statistics plays a major role in drawing inferences concerning the earth and its interior.Statistics for Earth and Environmental Scientists provides comprehensive theoretical and practical knowledge of statistical applications for solving real-world environmental problems. This book is envisioned for students and practitioners of the earth and environmental sciences who want to practise statistical tools to unravel real problems. It offers a variety of tools that are used across earth science disciplines. Statistical methods need to be understood because today's interesting problems are complex and include uncertainty. These complex problems take account of energy resources, climate change, and geologic hazards.

Author : Manfred Mudelsee
Publisher : Springer
Page : 477 pages
File Size : 48,7 Mb
Release : 2014-06-27
Category : Science
ISBN : 9783319044507

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Climate Time Series Analysis by Manfred Mudelsee Pdf

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 algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. “....comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications...accessible to readers with knowledge of college-level calculus and statistics.” (Computers and Geosciences) “A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty...a very useful text for those wishing to understand how to analyse climate time series.” (Journal of Time Series Analysis) “...outstanding. One of the best books on advanced practical time series analysis I have seen.” (David J. Hand, Past-President Royal Statistical Society)

Author : Timothy J. Brown,Paul W. Mielke Jr.
Publisher : Springer Science & Business Media
Page : 77 pages
File Size : 43,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9781475765816

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Statistical Mining and Data Visualization in Atmospheric Sciences by Timothy J. Brown,Paul W. Mielke Jr. Pdf

Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Author : Alik Ismail-Zadeh,Fabio Castelli,Dylan Jones,Sabrina Sanchez
Publisher : Cambridge University Press
Page : 369 pages
File Size : 46,9 Mb
Release : 2023-06-30
Category : Science
ISBN : 9781009190084

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Applications of Data Assimilation and Inverse Problems in the Earth Sciences by Alik Ismail-Zadeh,Fabio Castelli,Dylan Jones,Sabrina Sanchez Pdf

Many contemporary problems within the Earth sciences are complex, and require an interdisciplinary approach. This book provides a comprehensive reference on data assimilation and inverse problems, as well as their applications across a broad range of geophysical disciplines. With contributions from world leading researchers, it covers basic knowledge about geophysical inversions and data assimilation and discusses a range of important research issues and applications in atmospheric and cryospheric sciences, hydrology, geochronology, geodesy, geodynamics, geomagnetism, gravity, near-Earth electron radiation, seismology, and volcanology. Highlighting the importance of research in data assimilation for understanding dynamical processes of the Earth and its space environment and for predictability, it summarizes relevant new advances in data assimilation and inverse problems related to different geophysical fields. Covering both theory and practical applications, it is an ideal reference for researchers and graduate students within the geosciences who are interested in inverse problems, data assimilation, predictability, and numerical methods.

Author : Rajib Maity
Publisher : Springer
Page : 444 pages
File Size : 52,8 Mb
Release : 2018-04-30
Category : Science
ISBN : 9789811087790

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Statistical Methods in Hydrology and Hydroclimatology by Rajib Maity Pdf

This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to develop an understanding and illustrate the usefulness of the statistical techniques with detailed theory and numerous worked out examples. Apart from this, MATLAB-based codes and solutions of some worked out examples are also provided to assist the readers to handle real life data. This book presents a comprehensive knowledge of statistical techniques combining the basics of probability and the current advances in stochastic hydrology. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers valuable resources for researchers and professionals involved in the field of hydrology and climatology.