Statistics for Spatial Data by Noel A C Cressie
The first practical look at spatial statistics for the scientist and engineer. Designed for the scientific and engineering professional eager to exploit its enormous potential, Statistics for Spatial Data is a primer to the theory as well as the nuts-and-bolts of this influential technique. Focusing on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, and reveals how spatial statistical models can be used to solve a host of problems in science and engineering. Revised to reflect state-of-the-art developments, this edition also features many detailed examples, numerous illustrations, and over 1,000 references. The first fully comprehensive introduction, Statistics for Spatial Data is an essential guide for professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology. "This excellent book, which presents the most important branches of modern spatial statistics in an exemplary manner, will become a basic reference book and will popularize many methods which have been used until now only by small circles of specialists." -Mathematical Reviews "The majority of geoscientists should make sure they have access to this volume, while for those who are actively involved in applying statistical methods to data (of all sorts) this book should be in their personal libraries. As a compendium of statistical procedures to use to analyze data, this volume will surely provide a good solid framework for some time to come." -Geophysics-
Statistics for Experimenters
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Applied Logistic Regression
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Linear Regression Analysis
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Categorical Data Analysis
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Robust Statistics
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Introduction to Modern Business Statistics
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Regression Analysis by Example
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Multidimensional Scaling
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Introduction to Stochastic Dynamic Programming
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Discrimination and Classification
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Analysis of Complex Surveys
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Introduction to Linear Regression Analysis
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Statistical Methods for Comparative Studies
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Applied Statistics
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Theory of Probability
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Theory of Point Estimation
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Introductory Statistics
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Optimization Under Constraints
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The Spectral Analysis of Time Series
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Introduction to the Theory and Practice of Econometrics
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Nonparametric Methods in Multivariate Analysis
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Stochastic Simulation
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Real Analysis and Probability
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A Sampler on Sampling
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Chi-squared Distribution
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Practical Nonparametric Statistics
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Introductory Engineering Statistics
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Clustering Algorithms
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Finding Groups in Data
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Beyond ANOVA
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The Statistical Analysis of Failure Time Data
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Statistical Techniques for Manpower Planning
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Survey Errors and Survey Costs
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Variance Components
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An Introduction to Probability Theory and Mathematical Statistics
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Loss Distributions
"This book should be boughtIt is a landmark in statistical literature, a comprehensive discourse on a topic previously mostly in the domain of nonstatisticians." (Technometrics, Vol. 36 No. 4, Nov. 1994)
About the author NOEL A.C. CRESSIE is Professor of Statistics at the Ohio State University. He has previously served as Lecturer and Senior Lecturer of Mathematics at the Flinders University of South Australia. A fellow of the American Statistical Association and the Institute of Mathematical Statistics, Dr. Cressie is coauthor of Goodness--of--Fit Statistics for Discrete Multivariate Data. He received his PhD in statistics from Princeton University.
| SKU | Unavailable |
| ISBN 13 | 9780471002550 |
| ISBN 10 | 0471002550 |
| Title | Statistics for Spatial Data |
| Author | Noel A C Cressie |
| Series | Probability And Mathematical Statistics S |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley and Sons Ltd |
| Year published | 1993-09-01 |
| Number of pages | 928 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |