Statistics With Applications In Biology And Geology

Author : Preben Blaesild,Jorgen Granfeldt
Publisher : CRC Press
Page : 568 pages
File Size : 53,7 Mb
Release : 2018-10-03
Category : Mathematics
ISBN : 9781482285888

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Statistics with Applications in Biology and Geology by Preben Blaesild,Jorgen Granfeldt Pdf

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 : Preben Blaesild
Publisher : Chapman & Hall/CRC
Page : 128 pages
File Size : 48,6 Mb
Release : 2017-09-11
Category : Electronic
ISBN : 1138469815

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Statistics with Applications in Biology and Geology by Preben Blaesild Pdf

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 : E. Savazzi,R.A. Reyment
Publisher : Elsevier
Page : 285 pages
File Size : 42,6 Mb
Release : 1999-11-24
Category : Science
ISBN : 0080527612

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Aspects of Multivariate Statistical Analysis in Geology by E. Savazzi,R.A. Reyment Pdf

The book presents multivariate statistical methods useful in geological analysis. The essential distinction between multivariate analysis as applied to full-space data (measurements on lengths, heights, breadths etc.) and compositional data is emphasized with particular reference to geochemical data. Each of the methods is accompanied by a practically oriented computer program and backed up by appropriate examples. The computer programs are provided on a compact disk together with trial data-sets and examples of the output. An important feature of this book is the graphical system developed by Dr. Savazzi which is entitled Graph Server. Geological data often deviate from ideal statistical requirements. For this reason, close attention has been paid to the analysis of data that contain atypical observations.

Author : William B. Size
Publisher : Oxford University Press, USA
Page : 200 pages
File Size : 46,5 Mb
Release : 1987
Category : Earth sciences
ISBN : UCAL:B5040062

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Use and Abuse of Statistical Methods in the Earth Sciences by William B. Size Pdf

A major goal of earth scientists is to make geological interpretations based on statistical inferences, but accomplishing this is difficult due to the "abuse" of statistical methods. This book, the first in the International Association for Mathematical Geology Series, addresses the underlying assumptions of randomness, normality, and variance of sample data used with statistical methods. The authors uncover the reasons for unreliable or invalid statistical results and discuss the use of statistical measures of association, correlation, and regressions with relatively uncontrolled and variable natural data. Their analyses help to bridge the gap between geostatisticians and earth science researchers, and will be valuable to a wide range of earth scientists.

Author : Graham J. Borradaile
Publisher : Springer Science & Business Media
Page : 388 pages
File Size : 52,7 Mb
Release : 2003-05-14
Category : Mathematics
ISBN : 3540436030

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Statistics of Earth Science Data by Graham J. Borradaile Pdf

From the reviews: "All in all, Graham Borradaile has written and interesting and idiosyncratic book on statistics for geoscientists that will be welcome among students, researchers, and practitioners dealing with orientation data. That should include engineering geologists who work with things like rock fracture orientation measurements or clast alignment in paleoseismic trenches. It won’t replace the collection of statistics and geostatistics texts in my library, but it will have a place among them and will likely be one of several references to which I turn when working with orientation data.... The text is easy to follow and illustrations are generally clear and easy to read..."(William C. Haneberg, Haneberg Geoscience)

Author : D.R. Helsel,R.M. Hirsch
Publisher : Elsevier
Page : 546 pages
File Size : 51,5 Mb
Release : 1993-03-03
Category : Mathematics
ISBN : 0080875084

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Statistical Methods in Water Resources by D.R. Helsel,R.M. Hirsch Pdf

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Author : Michael Brimacombe
Publisher : CRC Press
Page : 212 pages
File Size : 50,5 Mb
Release : 2018-12-18
Category : Mathematics
ISBN : 9781584887898

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Likelihood Methods in Biology and Ecology by Michael Brimacombe Pdf

This book emphasizes the importance of the likelihood function in statistical theory and applications and discusses it in the context of biology and ecology. Bayesian and frequentist methods both use the likelihood function and provide differing but related insights. This is examined here both through review of basic methodology and also the integr

Author : Joseph Glaz,Joseph Naus,Sylvan Wallenstein
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 45,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475734607

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Scan Statistics by Joseph Glaz,Joseph Naus,Sylvan Wallenstein Pdf

In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 48,6 Mb
Release : 1986
Category : Electronic
ISBN : OCLC:257392359

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Statistics and Data Analysis in Geology by Anonim Pdf

Author : Robert Lee Miller,James Steven Kahn
Publisher : Unknown
Page : 512 pages
File Size : 42,9 Mb
Release : 1962
Category : Geology
ISBN : UCSD:31822013383211

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Statistical Analysis in the Geological Sciences by Robert Lee Miller,James Steven Kahn Pdf

Author : Kandethody M. Ramachandran,Chris P. Tsokos
Publisher : Academic Press
Page : 849 pages
File Size : 54,7 Mb
Release : 2009-03-13
Category : Mathematics
ISBN : 9780080951706

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Mathematical Statistics with Applications by Kandethody M. Ramachandran,Chris P. Tsokos Pdf

Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands

Author : Charles E. Brown
Publisher : Springer
Page : 0 pages
File Size : 53,5 Mb
Release : 2011-12-16
Category : Science
ISBN : 364280330X

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Applied Multivariate Statistics in Geohydrology and Related Sciences by Charles E. Brown Pdf

It has been evident from many years of research work in the geohydrologic sciences that a summary of relevant past work, present work, and needed future work in multivariate statistics with geohydrologic applications is not only desirable, but is necessary. This book is intended to serve a broad scientific audience, but more specifi cally is geared toward scientists doing studies in geohydrology and related geo sciences.lts objective is to address both introductory and advanced concepts and applications of the multivariate procedures in use today. Some of the procedures are classical in scope but others are on the forefront of statistical science and have received limited use in geohydrology or related sciences. The past three decades have seen a significant jump in the application of new research methodologies that focus on analyzing large databases. With more general applications being developed by statisticians in various disciplines, multivariate quantitative procedures are evolving for better scientific applica tion at a rapid rate and now provide for quick and informative analyses of large datasets. The procedures include a family of statistical research methods that are alternatively called "multivariate analysis" or "multivariate statistical methods".

Author : John Townend
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 55,8 Mb
Release : 2013-04-30
Category : Science
ISBN : 9781118687413

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Practical Statistics for Environmental and Biological Scientists by John Townend Pdf

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand. Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.

Author : Jie Chen,Arjun K. Gupta
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 41,8 Mb
Release : 2011-11-06
Category : Mathematics
ISBN : 9780817648015

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Parametric Statistical Change Point Analysis by Jie Chen,Arjun K. Gupta Pdf

This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several. More recently, change point analysis has been found in extensive applications related to analyzing biomedical imaging data and gene expression data. Extensive examples throughout the text emphasize key concepts and different methodologies used. New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control have been added to this second edition.

Author : Walter W. Piegorsch,A. John Bailer
Publisher : John Wiley & Sons
Page : 512 pages
File Size : 47,6 Mb
Release : 2005-06-10
Category : Mathematics
ISBN : 9780470012222

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Analyzing Environmental Data by Walter W. Piegorsch,A. John Bailer Pdf

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.