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Author : Diane C. Kiernan
Publisher :
ISBN 13 : 9781465288639
Total Pages : pages
Book Rating : 4.35/5 ( download)
Download or read book Introductory Statistics for Environmental Sciences written by Diane C. Kiernan and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Townend
Publisher : John Wiley & Sons
ISBN 13 : 1118687418
Total Pages : 290 pages
Book Rating : 4.13/5 ( download)
Download or read book Practical Statistics for Environmental and Biological Scientists written by John Townend and published by John Wiley & Sons. This book was released on 2013-04-30 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : John H. Schuenemeyer
Publisher : John Wiley & Sons
ISBN 13 : 1118102215
Total Pages : 341 pages
Book Rating : 4.13/5 ( 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.
Author : Bryan F.J. Manly
Publisher : CRC Press
ISBN 13 : 1439878129
Total Pages : 312 pages
Book Rating : 4.25/5 ( download)
Download or read book Statistics for Environmental Science and Management written by Bryan F.J. Manly and published by CRC Press. This book was released on 2008-10-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.
Author : Penny A. Cook
Publisher : Routledge
ISBN 13 : 113463885X
Total Pages : 272 pages
Book Rating : 4.57/5 ( download)
Download or read book Using Statistics to Understand the Environment written by Penny A. Cook and published by Routledge. This book was released on 2005-08-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Statistics to Understand the Environment covers all the basic tests required for environmental practicals and projects and points the way to the more advanced techniques that may be needed in more complex research designs. Following an introduction to project design, the book covers methods to describe data, to examine differences between samples, and to identify relationships and associations between variables. Featuring: worked examples covering a wide range of environmental topics, drawings and icons, chapter summaries, a glossary of statistical terms and a further reading section, this book focuses on the needs of the researcher rather than on the mathematics behind the tests.
Author : Paul Moore
Publisher : Prentice Hall Europe
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.42/5 ( download)
Download or read book Introductory Statistics for Environmentalists written by Paul Moore and published by Prentice Hall Europe. This book was released on 1998 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at undergraduate students, this text makes reference to MINITAB for Windows and Excel for Windows, details how suitable presentation can aid the analysis of complex data, and contains examples which all relate to 'real-world' applications.
Author : Carsten Dormann
Publisher : Springer Nature
ISBN 13 : 3030550206
Total Pages : 264 pages
Book Rating : 4.02/5 ( download)
Download or read book Environmental Data Analysis written by Carsten Dormann and published by Springer Nature. This book was released on 2020-12-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.
Author : Abbas F. M. Al-Karkhi
Publisher : Elsevier
ISBN 13 : 0128186232
Total Pages : 240 pages
Book Rating : 4.37/5 ( download)
Download or read book Applied Statistics for Environmental Science with R written by Abbas F. M. Al-Karkhi and published by Elsevier. This book was released on 2019-09-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. Includes step-by-step tutorials to aid in understanding the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs Shows how to analyze data using R software and provides R scripts for all examples and figures
Author : Peter J. A. Shaw
Publisher : Wiley
ISBN 13 : 9780470689233
Total Pages : 0 pages
Book Rating : 4.34/5 ( download)
Download or read book Introductory Multivariate Statistics for the Environmental Science written by Peter J. A. Shaw and published by Wiley. This book was released on 2009-12-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete introduction to multivariate statistics for environmental science Introductory Multivariate Statistics for the Environmental Science is a targeted text for those who are dealing with data collected in the field from environmental sources. Rather than describe in detail the mathematics behind multivariate statistical analysis, the book focuses on the application of analysis to real-world situations. After first providing a broad overview of what multivariate statistics is, the book goes on to cover topics such as measurements of ecological diversity, linear regression, ordination, principal components analysis, correspondence analysis, classification, and various other multivariate techniques.
Author : Stacey J Shaefer
Publisher : CRC Press
ISBN 13 : 1000654060
Total Pages : 394 pages
Book Rating : 4.66/5 ( download)
Download or read book Probability and Statistics Applications for Environmental Science written by Stacey J Shaefer and published by CRC Press. This book was released on 2007-02-22 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simple, clear, and to the point, Probability and Statistics Applications for Environmental Science delineates the fundamentals of statistics, imparting a basic understanding of the theory and mechanics of the calculations. User-friendliness, uncomplicated explanations, and coverage of example applications in the environmental field set this book ap
