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Statistics For Spatial Data
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The Wiley Classics Library Consists Of Selected Books That Have Been Made More Accessible To Consumers In An Effort To Increase Global Appeal And General Circulation. With These New Unabridged Softcover Volumes, Wiley Hopes To Extend The Lives Of These Works By Making Them Available To Future Generations Of Statisticians, Mathematicians, And Scientists.Spatial Statistics Analyzing Spatial Data Through Statistical Models Has Proven Exceptionally Versatile, Encompassing Problems Ranging From The Microscopic To The Astronomic. However, For The Scientist And Engineer Faced Only With Scattered And Uneven Treatments Of The Subject In The Scientific Literature, Learning How To Make Practical Use Of Spatial Statistics In Daytoday Analytical Work Is Very Difficult.Designed Exclusively For Scientists Eager To Tap Into The Enormous Potential Of This Analytical Tool And Upgrade Their Range Of Technical Skills, Statistics For Spatial Data Is A Comprehensive, Singlesource Guide To Both The Theory And Applied Aspects Of Spatial Statistical Methods. The Hardcover Edition Was Hailed By Mathematical Reviews As An Excellent Book Which Will Become A Basic Reference. This Paperback Edition Of The 1993 Edition, Is Designed To Meet The Many Technological Challenges Facing The Scientist And Engineer. Concentrating On The Three Areas Of Geostatistical Data, Lattice Data, And Point Patterns, The Book Sheds Light On The Link Between Data And Model, Revealing How Design, Inference, And Diagnostics Are An Outgrowth Of That Link. It Then Explores New Methods To Reveal Just How Spatial Statistical Models Can Be Used To Solve Important Problems In A Host Of Areas In Science And Engineering.Discussion Includes: Exploratory Spatial Data Analysis Spectral Theory For Stationary Processes Spatial Scale Simulation Methods For Spatial Processes Spatial Bootstrapping Statistical Image Analysis And Remote Sensing Computational Aspects Of Model Fitting Application Of Models To Disease Mappingdesigned To Accommodate The Practical Needs Of The Professional, It Features A Unified And Common Notation For Its Subject As Well As Many Detailed Examples Woven Into The Text, Numerous Illustrations (Including Graphs That Illuminate The Theory Discussed) And Over 1,000 References.Fully Balancing Theory With Applications, Statistics For Spatial Data, Revised Edition Is An Exceptionally Clear Guide On Making Optimal Use Of One Of The Ascendant Analytical Tools Of The Decade, One That Has Begun To Capture The Imagination Of Professionals In Biology, Earth Science, Civil, Electrical, And Agricultural Engineering, Geography, Epidemiology, And Ecology.
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- Q: What is the page count of 'Statistics for Spatial Data'? A: The book contains nine hundred twenty-eight pages. This comprehensive length provides in-depth coverage of spatial statistical methods.
- Q: What are the dimensions of 'Statistics for Spatial Data'? A: The book measures six and a half inches in length, one point eight two inches in width, and nine and a half inches in height. These dimensions make it a suitable size for both reading and reference.
- Q: What type of binding does 'Statistics for Spatial Data' have? A: The book is bound in hardcover. This durable binding is designed for longevity and frequent use.
- Q: Who is the author of 'Statistics for Spatial Data'? A: The author is Noel Cressie. He is recognized for his expertise in spatial statistics.
- Q: What category does 'Statistics for Spatial Data' fall under? A: The book is categorized under Probability & Statistics. It is a valuable resource for students and professionals in these fields.
- Q: How can I apply the concepts from 'Statistics for Spatial Data'? A: You can use the methods described in the book for practical analytical work in various scientific fields. It covers geostatistical data, lattice data, and point patterns.
- Q: Is 'Statistics for Spatial Data' suitable for beginners? A: Yes, the book is designed for scientists eager to learn spatial statistics, making it accessible for beginners as well as advanced users.
- Q: What topics are discussed in 'Statistics for Spatial Data'? A: The book covers exploratory spatial data analysis, spectral theory, simulation methods, and applications in disease mapping among other topics. It balances theoretical concepts with real-world applications.
- Q: How should I store 'Statistics for Spatial Data'? A: Store the book in a cool, dry place away from direct sunlight. This will help maintain the integrity of the hardcover and prevent fading.
- Q: Are there any specific care instructions for 'Statistics for Spatial Data'? A: There are no specific care instructions, but keeping it clean and away from moisture will prolong its life. Avoid excessive handling to maintain its condition.
- Q: Can I return 'Statistics for Spatial Data' if I am not satisfied? A: Yes, you can return the book if it is in its original condition. Check the retailer's return policy for specific details.
- Q: What if 'Statistics for Spatial Data' arrives damaged? A: If the book arrives damaged, contact the retailer for a replacement or refund. Most retailers have policies in place for such situations.
- Q: What makes 'Statistics for Spatial Data' a good reference book? A: The book is praised for its clear explanations and extensive references, making it an excellent resource for both learning and professional reference.
- Q: Does 'Statistics for Spatial Data' include illustrations? A: Yes, the book includes numerous illustrations and graphs to help clarify the theoretical concepts discussed. These visuals enhance understanding.
- Q: Is 'Statistics for Spatial Data' appropriate for professional use? A: Yes, it is designed with professional needs in mind, making it a suitable choice for scientists and engineers in various fields.