Language : English
Published : 2006-02-01
Pages : 608
Sampling: Design and Analysis
Sharon L. Lohr’s SAMPLING: DESIGN AND ANALYSIS, 2e, International Edition provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data.
About the Author
Sharon Lohr (Ph.D. in statistics, University of Wisconsin-Madison) is the Thompson Industries Dean’s Distinguished Professor of Statistics at Arizona State University, where she has taught since 1990. Dr. Lohr’s research focuses on survey sampling, design of experiments, and applications of statistics to social sciences and education. She has published numerous articles in journals including The Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrika, Journal of Quantitative Criminology, Wisconsin Law Review, and The American Statistician. She has served as chair of the Survey Research Methods Section of the American Statistical Association, president of the Arizona Chapter of the American Statistical Association, Fellow of the American Statistical Association, Elected Member of the International Statistical Institute, and member of the Census Advisory Committee of Professional Associations and the Statistics Canada Advisory Board on Statistical Methodology. In 2003 she received the inaugural Gertrude M. Cox Award from the Washington Statistical Society and in 2009 was selected to present the Morris Hansen Lecture.
This text is adapted from Jessica Utts and Robert Heckard, it’s best-selling general introductory statistics text, Mind on Statistics. It emphasises the conceptual development of statistical ideas and seeks to find meaning in data. This local adaptation retains the conversational approach of the original text, with real examples and case studies of appeal and interest to Australian and New Zealand students. The revised structure and relevant examples motivate students and guide them through the statistical process of tackling problems, planning and data collection, analysing and interpreting information and finding solutions.
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry. The accompanying MyStatLab(TM) online course provides users with countless opportunities to practice, plus learning tools that enhance their experience and comprehension. Instructions and displays for StatCrunch(R), Pearson’s powerful online statistical software, are now integrated into the text as well as the MyStatLab course. Elementary Statistics is part of a series that also includes an Essentials version as well as technology-specific texts, Elementary Statistics Using the TI 83/84 Calculator and Elementary Statistics Using Excel. Data sets and other resources for this series are available at our website.
Praise for the First Edition
“. . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner.” —Mathematical Geosciences
The state of the art in geostatistics
Geostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field.
The authors explain both the theory and applications of geostatistics through a unified treatment that emphasizes methodology. Key topics that are the foundation of geostatistics are explored in-depth, including stationary and nonstationary models; linear and nonlinear methods; change of support; multivariate approaches; and conditional simulations. The Second Edition highlights the growing number of applications of geostatistical methods and discusses three key areas of growth in the field:
- New results and methods, including kriging very large datasets; kriging with outliers; nonse??parable space-time covariances; multipoint simulations; pluri-gaussian simulations; gradual deformation; and extreme value geostatistics
- Newly formed connections between geostatistics and other approaches such as radial basis functions, Gaussian Markov random fields, and data assimilation
- New perspectives on topics such as collocated cokriging, kriging with an external drift, discrete Gaussian change-of-support models, and simulation algorithms
Geostatistics, Second Edition is an excellent book for courses on the topic at the graduate level. It also serves as an invaluable reference for earth scientists, mining and petroleum engineers, geophysicists, and environmental statisticians who collect and analyze data in their everyday work.
From the Back Cover
A novel, practical approach to modeling spatial uncertainty.
This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty.
Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume:
* Reviews the most up-to-date geostatistical methods and the types of problems they address.
* Emphasizes the statistical methodologies employed in spatial estimation.
* Presents simulation techniques and digital models of uncertainty.
* Features more than 150 figures and many concrete examples throughout the text.
* Includes extensive footnoting as well as a thorough bibliography.
Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects. –This text refers to an out of print or unavailable edition of this title.