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Exercises and Solutions in Statistical Theory

Lawrence L. Kupper | Brian. H Neelon | Sean M. O'Brien
€248.00
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A01=Brian. H Neelon
A01=Lawrence L. Kupper
A01=Sean M. O'Brien
actuarial applications
advanced statistical problem solving
Alternative Hypothesis H1
application of statistical theory to practical problems
Author_Brian. H Neelon
Author_Lawrence L. Kupper
Author_Sean M. O'Brien
Bayesian inference
Category=PBT
CDF
Cervical Cancer
CI
Complete Sufficient Statistic
Continuous Random Variables
Continuous Random Vector
Density Function fX
detailed solutions to statistical exercises
Discrete Random Variable
Discrete Random Vector
epidemiological methods
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Explicit Expression
MGF
Minimum Variance Unbiased Estimator
MP Test
multivariate analysis
Null Hypothesis H0
principles of statistical theory
probability theory
Random Sample Y1
Random Variables
Random Variables X1
Rao Blackwell Theorem
regression techniques
Regular Exercisers
Rejection Region
Simple Null Hypothesis H0
statistical modelling
supplement to statistical courses
theoretical statistical skills
theory of statistical inference
Ump Test
Unbiased Estimator
understanding statistical theory
Unobservable Risk Factor

Product details

  • ISBN 9781138469464
  • Weight: 725g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Aug 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that apply to real-world settings and provides much more thorough solutions.

The exercises and selected detailed solutions cover from basic probability theory through to the theory of statistical inference. Many of the exercises deal with important, real-life scenarios in areas such as medicine, epidemiology, actuarial science, social science, engineering, physics, chemistry, biology, environmental health, and sports. Several exercises illustrate the utility of study design strategies, sampling from finite populations, maximum likelihood, asymptotic theory, latent class analysis, conditional inference, regression analysis, generalized linear models, Bayesian analysis, and other statistical topics. The book also contains references to published books and articles that offer more information about the statistical concepts.

Designed as a supplement for advanced undergraduate and graduate courses, this text is a valuable source of classroom examples, homework problems, and examination questions. It is also useful for scientists interested in enhancing or refreshing their theoretical statistical skills. The book improves readers comprehension of the principles of statistical theory and helps them see how the principles can be used in practice. By mastering the theoretical statistical strategies necessary to solve the exercises, readers will be prepared to successfully study even higher-level statistical theory.
About Brian. H Neelon | Lawrence L. Kupper | Sean M. O'Brien
Lawrence L. Kupper, Brian. H Neelon, Sean M. O'Brien

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