Andere Kunden interessierten sich auch für
![Introduction to the Theory of Statistical Inference]( "Introduction to the Theory of Statistical Inference")
Introduction to the Theory of Statistical Inference53,99 €![Exercises and Solutions in Probability and Statistics]( "Exercises and Solutions in Probability and Statistics")
Exercises and Solutions in Probability and Statistics109,99 €![Exercises in Statistical Reasoning]( "Exercises in Statistical Reasoning")
Exercises in Statistical Reasoning51,99 €![Exercises and Solutions in Probability and Statistics]( "Exercises and Solutions in Probability and Statistics")
Exercises and Solutions in Probability and Statistics35,99 €![Statistical Theory]( "Statistical Theory")
Statistical Theory78,99 €![Mathematical Statistics]( "Mathematical Statistics")
Mathematical Statistics100,99 €![Fundamentals of Mathematical Statistics]( "Fundamentals of Mathematical Statistics")
Fundamentals of Mathematical Statistics78,99 €
Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix.
Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers.
Features
_ Presents the mathematical foundations of spatial statistics.
_ Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology.
_ Gives pointers to the literature to facilitate further study.
_ Provides example code in R to encourage the student to experiment.
_ Offers exercises and their solutions to test and deepen understanding.
The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.
Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers.
Features
_ Presents the mathematical foundations of spatial statistics.
_ Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology.
_ Gives pointers to the literature to facilitate further study.
_ Provides example code in R to encourage the student to experiment.
_ Offers exercises and their solutions to test and deepen understanding.
The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.