Theoretical Statistics
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€173.60
A01=D.R. Cox
A01=D.V. Hinkley
Achievable Significance Levels
advanced statistical theory for researchers
ancillary
Ancillary Statistic
asymptotic analysis
Author_D.R. Cox
Author_D.V. Hinkley
Bayesian inference
Category=PBT
Confidence Region
Cramer Rao Lower Bound
Critical Region
Cumulative Distribution Function
decision theory applications
Distribution Free Tests
Efficient Score
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
hypothesis
hypothesis testing methods
Independent Sets
interval estimation techniques
Likelihood Ratio
linear
Linear Rank Statistics
Maximal Invariant
Minimal Sufficient Statistic
model
nonparametric statistics
normal
Normal Theory Linear Model
nuisance
Nuisance Parameter
Null Hypothesis
Null Hypothesis Distribution
Permutation Distribution
Pivotal Quantity
Posterior Density
Posterior Distribution
Prior Density
Prior Distribution
random
Special Stochastic Models
Strong Null Hypothesis
theory
variable
Product details
- ISBN 9780412161605
- Weight: 980g
- Dimensions: 156 x 234mm
- Publication Date: 06 Sep 1979
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general concepts rather than mathematical rigor. Chapters 1 through 3 provide an overview of statistics and discuss some of the basic philosophical ideas and problems behind statistical procedures. Chapters 4 and 5 cover hypothesis testing with simple and null hypotheses, respectively. Subsequent chapters discuss non-parametrics, interval estimation, point estimation, asymptotics, Bayesian procedure, and deviation theory. Student familiarity with standard statistical techniques is assumed.
