Advances on Theoretical and Methodological Aspects of Probability and Statistics
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advanced probability theory
asymptotic
Asymptotic Efficiency
Asymptotic Optimality
Average Run Length
bayes
Bayes Risk
Bayesian inference for scientific research
Bounded Risk Point Estimation
Box Cox Power Transformation
Category=PBT
Change Point Problems
Conditional Error Probabilities
Cumulative Distribution Function
Data Set
De Finetti's Theorem
Dirichlet Process
Distribution Function
empirical
Empirical Bayes Approach
EMPIRICAL BAYES ESTIMATION
Empirical Bayes Estimators
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
estimator
estimators
Fixed Width Confidence Intervals
health data analysis
Indifference Zone Approach
Indifference Zone Formulation
Minimum Risk Point Estimation
nuisance
Offspring Distribution
optimality
Posterior Distribution
random
regression techniques
selection procedures
SPRT
statistical inference methods
stochastic modelling
Unknown Change Point
variable
vectors
Von Mises Distribution
Product details
- ISBN 9780367578527
- Weight: 757g
- Dimensions: 152 x 229mm
- Publication Date: 30 Jun 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.
N. Balaskrishnan, McMaster University, Hamilton, Ontario, Canada
