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Author : William Christian Krumbein
Publisher :
ISBN 13 :
Total Pages : 478 pages
Book Rating : 4.:/5 (9 download)
Download or read book An Introduction to Statistical Models in Geology written by William Christian Krumbein and published by . This book was released on 1972 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : William Christian Krumbein
Publisher :
ISBN 13 :
Total Pages : 475 pages
Book Rating : 4.:/5 (113 download)
Download or read book An introduction to statistical models in geology written by William Christian Krumbein and published by . This book was released on 1965 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt:
![Download An Introduction to Statistical Models in Geology [by] W.C. Krumbein [and] Franklin A. Graybill PDF Online Free](https://books.google.com/books/content/images/frontcover/OJRMswEACAAJ?fife=w200-h370)
Author : William Christian Krumbein
Publisher :
ISBN 13 :
Total Pages : 475 pages
Book Rating : 4.:/5 (977 download)
Download or read book An Introduction to Statistical Models in Geology [by] W.C. Krumbein [and] Franklin A. Graybill written by William Christian Krumbein and published by . This book was released on 1965 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Preben Blaesild
Publisher : CRC Press
ISBN 13 : 1482285886
Total Pages : 568 pages
Book Rating : 4.4/5 (822 download)
Download or read book Statistics with Applications in Biology and Geology written by Preben Blaesild and published by CRC Press. This book was released on 2018-10-03 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of statistics is fundamental to many endeavors in biology and geology. For students and professionals in these fields, there is no better way to build a statistical background than to present the concepts and techniques in a context relevant to their interests. Statistics with Applications in Biology and Geology provides a practical introduction to using fundamental parametric statistical models frequently applied to data analysis in biology and geology. Based on material developed for an introductory statistics course and classroom tested for nearly 10 years, this treatment establishes a firm basis in models, the likelihood method, and numeracy. The models addressed include one sample, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and Poisson data. Building on the familiarity developed with those models, the generalized linear models are introduced, making it possible for readers to handle fairly complicated models for both continuous and discrete data. Models for directional data are treated as well. The emphasis is on parametric models, but the book also includes a chapter on the most important nonparametric tests. This presentation incorporates the use of the SAS statistical software package, which authors use to illustrate all of the statistical tools described. However, to reinforce understanding of the basic concepts, calculations for the simplest models are also worked through by hand. SAS programs and the data used in the examples and exercises are available on the Internet.
Author : William Christian Krumbein
Publisher :
ISBN 13 :
Total Pages : 502 pages
Book Rating : 4.:/5 (319 download)
Download or read book An Introduction to Statistical Models in Geology written by William Christian Krumbein and published by . This book was released on 1965 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Preben Blaesild
Publisher : Chapman & Hall/CRC
ISBN 13 : 9781138469815
Total Pages : pages
Book Rating : 4.4/5 (698 download)
Download or read book Statistics with Applications in Biology and Geology written by Preben Blaesild and published by Chapman & Hall/CRC. This book was released on 2017-09-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of statistics is fundamental to many endeavors in biology and geology. For students and professionals in these fields, there is no better way to build a statistical background than to present the concepts and techniques in a context relevant to their interests. Statistics with Applications in Biology and Geology provides a practical introduction to using fundamental parametric statistical models frequently applied to data analysis in biology and geology. Based on material developed for an introductory statistics course and classroom tested for nearly 10 years, this treatment establishes a firm basis in models, the likelihood method, and numeracy. The models addressed include one sample, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and Poisson data. Building on the familiarity developed with those models, the generalized linear models are introduced, making it possible for readers to handle fairly complicated models for both continuous and discrete data. Models for directional data are treated as well. The emphasis is on parametric models, but the book also includes a chapter on the most important nonparametric tests. This presentation incorporates the use of the SAS statistical software package, which authors use to illustrate all of the statistical tools described. However, to reinforce understanding of the basic concepts, calculations for the simplest models are also worked through by hand. SAS programs and the data used in the examples and exercises are available on the Internet.
Author : Basanta Kumar Sahu
Publisher :
ISBN 13 : 9788178000794
Total Pages : 211 pages
Book Rating : 4.0/5 (7 download)
Download or read book Statistical Models in Earth Sciences written by Basanta Kumar Sahu and published by . This book was released on 2005 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. Schwartz
Publisher : Springer Science & Business Media
ISBN 13 : 1402038801
Total Pages : 1243 pages
Book Rating : 4.4/5 (2 download)
Download or read book Encyclopedia of Coastal Science written by M. Schwartz and published by Springer Science & Business Media. This book was released on 2006-11-08 with total page 1243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new Encyclopedia of Coastal Science stands as the latest authoritative source in the field of coastal studies, making it the standard reference work for specialists and the interested lay person. Unique in its interdisciplinary approach. This Encyclopedia features contributions by 245 well-known international specialists in their respective fields and is abundantly illustrated with line-drawings and photographs. Not only does this volume offer an extensive number of entries, it also includes various appendices, an illustrated glossary of coastal morphology and extensive bibliographic listings.
Author : Hans Gilgen
Publisher : Springer Science & Business Media
ISBN 13 : 3540309683
Total Pages : 734 pages
Book Rating : 4.5/5 (43 download)
Download or read book Univariate Time Series in Geosciences written by Hans Gilgen and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a detailed introduction to the statistical analysis of geophysical time series, using numerous examples and exercises to build proficiency. The exercises lead the reader to explore the meaning of concepts such as the estimation of the linear time series (AMRA) models or spectra. The book also serves as a guide to using the open-source "R" program for statistical analysis of time series.
Author : Steven J. Janke
Publisher : John Wiley & Sons
ISBN 13 : 0471740101
Total Pages : 600 pages
Book Rating : 4.4/5 (717 download)
Download or read book Introduction to Linear Models and Statistical Inference written by Steven J. Janke and published by John Wiley & Sons. This book was released on 2005-09-15 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: * Simple linear models * Multivariate models * Model building * Analysis of variance (ANOVA) * Analysis of covariance (ANCOVA) * Logistic regression * Total least squares The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.
Author : B K Sahu
Publisher :
ISBN 13 : 9789352300327
Total Pages : 164 pages
Book Rating : 4.3/5 (3 download)
Download or read book Statistical Models in Earth Sciences written by B K Sahu and published by . This book was released on 2015-06-02 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the author has given some introduction to the nature of complexities and processes within Earth Sciences and some of theses are modeled through probabilistic and statistical methods using linear process. These are best exemplified through the use of axiomatic probability using univariate statistical methodology for scalar random variables and multivariate statistical methods for vector random variables. Several real geological examples are included in this book, which have been solved or partially solved to exemplify applications for solutions of specific earth science problems. The aim of these examples is to help the student to conceptually appreciate the problem and realistically formulate a simple mathematical model for its solution. In addition, several exercises are given at the end of each chapter so that the student can independently solve some advanced problems. This book will also be useful to professional Earth Scientists in formulating models and using statistical methods to make appropriate decisions in their chosen fields.
Author : Oy Leuangthong
Publisher : John Wiley & Sons
ISBN 13 : 1118210514
Total Pages : 145 pages
Book Rating : 4.1/5 (182 download)
Download or read book Solved Problems in Geostatistics written by Oy Leuangthong and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book presents a learn-by-doing introduction to geostatistics. Geostatistics provides the essential numerical tools for addressing research problems that are encountered in fields of study such as geology, engineering, and the earth sciences. Illustrating key methods through both theoretical and practical exercises, Solved Problems in Geostatistics is a valuable and well-organized collection of worked-out problems that allow the reader to master the statistical techniques for modeling data in the geological sciences. The book's scope of coverage begins with the elements from statistics and probability that form the foundation of most geostatistical methodologies, such as declustering, debiasing methods, and Monte Carlo simulation. Next, the authors delve into three fundamental areas in conventional geostatistics: covariance and variogram functions; kriging; and Gaussian simulation. Finally, special topics are introduced through problems involving utility theory, loss functions, and multiple-point geostatistics. Each topic is treated in the same clearly organized format. First, an objective presents the main concepts that will be established in the section. Next, the background and assumptions are outlined, supplying the comprehensive foundation that is necessary to begin work on the problem. A solution plan demonstrates the steps and considerations that have to be taken when working with the exercise, and the solution allows the reader to check their work. Finally, a remarks section highlights the overarching principles and noteworthy aspects of the problem. Additional exercises are available via a related Web site, which also includes data related to the book problems and software programs that facilitate their resolution. Enforcing a truly hands-on approach to the topic, Solved Problems in Geostatistics is an indispensable supplement for courses on geostatistics and spatial statistics a the upper-undergraduate and graduate levels.It also serves as an applied reference for practicing professionals in the geosciences.
Author : John H. Schuenemeyer
Publisher : John Wiley & Sons
ISBN 13 : 1118102215
Total Pages : 341 pages
Book Rating : 4.1/5 (181 download)
Download or read book Statistics for Earth and Environmental Scientists written by John H. Schuenemeyer and published by John Wiley & Sons. This book was released on 2011-04-12 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistics and Data Analysis in Geology written by and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hans Wackernagel
Publisher : Springer Science & Business Media
ISBN 13 : 3662030985
Total Pages : 263 pages
Book Rating : 4.6/5 (62 download)
Download or read book Multivariate Geostatistics written by Hans Wackernagel and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing geostatistics from a multivariate perspective is the main aim of this book. The idea took root while teaching geostatistics at the Centre de Geostatis tique (Ecole des Mines de Paris) over the past ten years in the two postgraduate programs DEA and CFSG. A first script of lecture notes in French originated from this activity. A specialized course on Multivariate and Exploratory Geostatistics held in September 1993 in Paris (organized in collaboration with the Department of Statistics of Trinity College Dublin) was the occasion to test some of the mate rial on a pluridisciplinary audience. Another important opportunity arose last year when giving a lecture on Spatial Statistics during the summer term at the Department of Statistics of the University of Washington at Seattle, where part of this manuscript was distributed in an early version. Short accounts were also given during COMETT and TEMPUS courses on geostatistics for environment al studies in Fontainebleau, Freiberg, Rome and Prague, which were sponsored by the European Community. I wish to thank the participants of these various courses for their stimulating questions and comments. Among the organizers of these courses, I particularly want to acknowledge the support received from Georges Matheron, Pierre Chau vet, Margaret Armstrong, John Haslett and Paul Sampson. Michel Grzebyk has made valuable comments on Chapters 26 and 27, which partly summarize some of his contributions to the field.
Author : John C. Davis
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4./5 ( download)
Download or read book Statistics and Data Analysis in Geology written by John C. Davis and published by John Wiley & Sons. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special Features: · Offers a comprehensive treatment of statistics in geology.· Topics progress from background information to analysis of geological sequences, then maps, and finally multivariate observations.· The book places special emphasis on probability and statistics, including nonparametric statistics, constant-sum data, eigenvalue calculations, analysis of directional data, mapping and geostatistics, fractals, and multivariate analysis.· The text now includes numerous geological data sets that illustrate how specific computational procedures can be applied to problems in the Earth sciences. All data sets are available on the book's companion Web site.· Each chapter now ends with a set of exercises of greater or lesser complexity that the student can address using methods discussed in the chapter.· Provides expanded coverage of elementary probability theory.· The discussion of nonparametric methods has been expanded to address closure effects.· Coverage of eigenvalues and eigenvectors has been revised.· Includes a new section on singular value decomposition and the relationship between R- and Q-mode factor methods in the chapter on multivariate analysis.· The section on contour mapping has been revised to reflect modern practices.· Includes revised coverage of the many varieties of kriging and provides of series of simple demonstrations that illustrate how geostatistical methodologies work.· Includes a discussion of fractals, a promising area of future research.· The section on regression has been expanded to include several variants that have special significance in the Earth sciences.
Author : G.L. Gaile
Publisher : Springer Science & Business Media
ISBN 13 : 9401730482
Total Pages : 480 pages
Book Rating : 4.4/5 (17 download)
Download or read book Spatial Statistics and Models written by G.L. Gaile and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quantitative revolution in geography has passed. The spirited debates of the past decades have, in one sense, been resolved by the inclusion of quantitative techniques into the typical geographer's set of methodological tools. A new decade is upon us. Throughout the quantitative revolution, geographers ransacked related disciplines and mathematics in order to find tools which might be applicable to problems of a spatial nature. The early success of Berry and Marble's Spatial Analysis and Garrison and Marble's volumes on Quantitative Geog raphy is testimony to their accomplished search. New developments often depend heavily on borrowed ideas. It is only after these developments have been established that the necessary groundwork for true innovation ob tains. In the last decade, geographers significantly -augmented their methodologi cal base by developing quantitative techniques which are specifically directed towards analysis of explicitly spatial problems. It should be pointed out, however, that the explicit incorporation of space into quantitative techniques has not been the sole domain of geographers. Mathematicians, geologists, meteorologists, economists, and regional scientists have shared the geo grapher's interest in the spatial component of their analytical tools.
