A01=S.D. Silvey
advanced statistical inference methods
Author_S.D. Silvey
Bayes's Risk
Bayes's Solution
Bayesian Confidence Interval
Bayes’s Risk
Bayes’s Solution
Category=PBT
confidence intervals
Critical Region
decision theory applications
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Error Probability Function
Finite Dimensional Euclidean Space
Gauss Markov Theorem
hypothesis testing techniques
Improper Prior Distribution
Independent Poisson Random Variables
Larger Families
least squares method
Likelihood Ratio Test
Maximum Likelihood Estimator
Minimal Sufficient Statistic
minimum variance estimation
Minimum Variance Unbiased
Monotone Likelihood Ratio
Neyman Pearson Theory
nonparametric statistics
parameter
Pivotal Quantity
Posterior Distribution
Prior Distribution
S.D. Silvey
Sample Space
Sequential Probability Ratio Test
Unbiased Estimator
Uniform Prior Distribution
Unknown Real Parameter
Unrestricted Maximum Likelihood Estimate
Product details
- ISBN 9780412138201
- Weight: 280g
- Dimensions: 152 x 229mm
- Publication Date: 01 Mar 1975
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concentrateattention on these ideas: they are placed in a general settingand illustrated by relatively simple examples, avoidingwherever possible the extraneous difficulties of complicatedmathematical manipulation.In order to compress the central body of ideas into a smallvolume, it is necessary to assume a fair degree of mathematicalsophistication on the part of the reader, and the book is intendedfor students of mathematics who are already accustomed tothinking in rather general terms about spaces and functions
