Author: Peter A Rogerson
Release Date: 2010-01-21
Genre: Social Science
'This book provides students with everything they need to know in both a basic statistics course and also in introductory courses focused on spatial data analysis. It is extremely well-written, well-organised and has plenty of easily understood examples - really the ideal textbook. I recommend it extremely highly' - Stewart Fotheringham, Director, National Centre for Geocomputation National University of Ireland Maynooth The Third Edition of this bestselling student favourite has again been revised and updated to provide an expert introduction to the principal methods and techniques needed to understand a statistics module. Features new to this edition include: - further introductory material - updated exercises and illustrative examples - updated downloadable datasets
"Its range is far broader than the majority of methods texts, being concerned with both human and physical geography... Given the seriousness with which Key Methods in Geography approaches all aspects of research, it will continue to find wide favour among undergraduate geographers." - Times Higher Education Textbook Guide "All geographers, whatever their interest, need to do research. This book will help them get started in the best possible way, with thoughtful advice on everything from project design, through choice of methods, to data analysis and presentation. The editors have assembled an impressive array of authors, all experts in their chosen field." - Tim Burt, University of Durham "Excellent book. Valuable teaching aid. Well written and covers a wide range of methods thoroughly." - Sue Rodway-Dyer, Exeter University "This is an excellent book and deals with a number of topics (which I teach) outside of the tutorial module where it is a recommended text for geographers. A very useful textbook throughout a 3 year Geography programme." - Ian Harris, Bangor University Key Methods in Geography is an introduction to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It is unique in the reference literature for providing an overview of qualitative and quantitative methods for human and physical geography. An accessible primer, it will be used by students as a reference throughout their degree, on all issues from research design to presentation. This second edition has been fully revised and updated and includes new chapters on internet mediated research, diaries as a research method, making observations and measurements in the field, and the analysis of natural systems. Organized into four sections: Getting Started in Geographical Research; Generating and Working with Data in Human Geography; Generating and Working with Data in Physical Geography; Representing and Interpreting Geographical Data; each chapter comprises: A short definition A summary of the principal arguments A substantive 5,000-word discussion Use of real-life examples Annotated notes for further reading. The teaching of research methods is integral to all geography courses: Key Methods in Geography, 2nd Edition explains all of the key methods with which geography undergraduates must be conversant.
Author: Rudolf J. Freund
Publisher: Academic Press
Release Date: 2010-08-17
Statistical Methods, Third Edition, provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach that emphasizes concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples, and data exercises organized by level of difficulty. Students are required to be familiar with algebra. This updated edition includes new exercises applying different techniques and methods; new examples and datasets using current real-world data; new text organization to create a more natural connection between regression and the Analysis of the Variance; new material on generalized linear models; new expansion of nonparametric techniques; new student research projects; and new case studies for gathering, summarizing, and analyzing data. Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications Accessibile to students who may not have a background in probability or calculus Offers reader-friendly exposition, without sacrificing statistical rigor Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics
Author: Gopal K Kanji
Release Date: 2006-07-18
Genre: Social Science
'This is a very valuable book for statisticians and users of statistics. It contains a remarkable number of statistical tests which are currently available and useful for practical purposes' - Statistical Papers This expanded and updated Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test's purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example and the numerical calculation. This new edition also includes: " A brand new introduction to statistical testing with information to guide the reader through the book so that even non-statistics students can find information quickly and easily " Real-world explanations of how and when to use each test with examples drawn from wide range of disciplines. " A useful Classification of Tests table " All the relevant statistical tables for checking critical values 100 Statistical Tests: Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines.
Author: Anthony C. Gatrell
Publisher: John Wiley & Sons
Release Date: 2014-12-31
Setting out the debates and reviewing the evidence that links health outcomes with social and physical environments, this new edition of the well-established text offers an accessible overview of the theoretical perspectives, methodologies, and research in the field of health geography Includes international examples, drawn from a broad range of countries, and extensive illustrations Unique in its approach to health geography, as opposed to medical geography New chapters focus on contemporary concerns including neighborhoods and health, ageing, and emerging infectious disease Offers five new case studies and an fresh emphasis on qualitative research approaches Written by two of the leading health geographers in the world, each with extensive experience in research and policy
Author: Bertram Husch
Publisher: John Wiley & Sons
Release Date: 2002-12-25
The new, revised edition of the standard volume on forest measurement The updated edition of this long-standing classic, Forest Mensuration, Fourth Edition, provides new, complete coverage of current measurement practices and technological applications that expand the role of forest mensuration to include monitoring forest resources. This integrated approach takes into account all the resources of a forest, including such nontimber vegetation parameters as regeneration, lesser vegetation, woody detritus, and carbon. Providing solid working knowledge of all concepts and methods, along with guidance for further study, featured material includes: * Applications of personal computers, global positioning, and GIS * Key concepts of tree-stand parameters and principles of measurement * Fundamental concepts of sampling methods * English and metric units Forest Mensuration, Fourth Edition, is a valuable resource for students in forestry and forestry-related studies.
Author: Carl A. Burtis
Publisher: Elsevier Health Sciences
Release Date: 2012-10-14
As the definitive reference for clinical chemistry, Tietz Textbook of Clinical Chemistry and Molecular Diagnostics, 5th Edition offers the most current and authoritative guidance on selecting, performing, and evaluating results of new and established laboratory tests. Up-to-date encyclopedic coverage details everything you need to know, including: analytical criteria for the medical usefulness of laboratory procedures; new approaches for establishing reference ranges; variables that affect tests and results; the impact of modern analytical tools on lab management and costs; and applications of statistical methods. In addition to updated content throughout, this two-color edition also features a new chapter on hemostasis and the latest advances in molecular diagnostics. Section on Molecular Diagnostics and Genetics contains nine expanded chapters that focus on emerging issues and techniques, written by experts in field, including Y.M. Dennis Lo, Rossa W.K. Chiu, Carl Wittwer, Noriko Kusukawa, Cindy Vnencak-Jones, Thomas Williams, Victor Weedn, Malek Kamoun, Howard Baum, Angela Caliendo, Aaron Bossler, Gwendolyn McMillin, and Kojo S.J. Elenitoba-Johnson. Highly-respected author team includes three editors who are well known in the clinical chemistry world. Reference values in the appendix give you one location for comparing and evaluating test results. NEW! Two-color design throughout highlights important features, illustrations, and content for a quick reference. NEW! Chapter on hemostasis provides you with all the information you need to accurately conduct this type of clinical testing. NEW! Six associate editors, Ann Gronowski, W. Greg Miller, Michael Oellerich, Francois Rousseau, Mitchell Scott, and Karl Voelkerding, lend even more expertise and insight to the reference. NEW! Reorganized chapters ensure that only the most current information is included.
Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.
Author: David Adams
Publisher: John Wiley & Sons
Release Date: 2011-09-28
Effective Learning in the Life Sciences is intended to help ensure that each student achieves his or her true potential by learning how to solve problems creatively in laboratory, field or other workplace setting. Each chapter describes state of the art approaches to learning and teaching and will include case studies, worked examples and a section that lists additional online and other resources. All of the chapters are written from the perspective both of students and academics and emphasize and embrace effective scientific method throughout. This title also draws on experience from a major project conducted by the Centre for Bioscience, with a wide range of collaborators, designed to identify and implement creative teaching in bioscience laboratories and field settings. With a strong emphasis on students thinking for themselves and actively learning about their chosen subject Effective Learning in the Life Sciences provides an invaluable guide to making the university experience as effective as possible.