Revival: Large Sample Methods in Statistics (1994)
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€328.60
A01=Julio M. Singer
A01=Pranab K. Sen
advanced asymptotic statistics applications
Asymptotic Distribution
asymptotic inference
Asymptotic Normality
Author_Julio M. Singer
Author_Pranab K. Sen
categorical data analysis
Categorical Data Models
Category=PBT
Central Limit Theorem
Classical Central Limit Theorem
Data Set
Distribution Function
empirical distribution theory
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Erc Ise
Estim Ator
estimator consistency
Istr Ib
Large Sample
Large Sample Methods
Large Sample Theory
methodology
Norm Ality
Note Tha
Param Eter
practical applications
Probability Inequalities
Random Variable
Rc Ise
Sample Quantiles
Slutsky Theorem
Statistics
Stochastic Convergence
stochastic processes
theoretcial developments
weak convergence
Weak Convergence Result
Weak Invariance Principles
Xam Ple
Product details
- ISBN 9781138560819
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 25 Jan 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications.
Pranab Kumar Sen is a statistician, a professor of statistics and the Cary C. Boshamer Professor of Biostatistics at the University of North Carolina at Chapel Hill.
