Introduction to Probability and Statistics
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A01=Giri
ANOVA
ASN
ASN Function
Author_Giri
Bayes Decision Rule
Bayes Risk
Category=PBT
Conditional Expectation
Continuous Distribution Function
Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Exponential Family
Fixed Sample Procedure
Fixed Sample Size Design
Glivenko Cantelli Theorem
hypothesis testing
Independent Random Variables
Joint Probability Density Function
Minimax Decision Rule
Minimax Estimator
multivariate analysis
Noncentral Chi Square Distribution
Noncentrality Parameter
nonparametric statistics
parametric estimation
Prior Probability Density Function
Probability Density Function
probability theory
Random Experiment
Random Phenomenon
Random Variable
random variables
Sample Space
SPRT
statistical decision theory
statistical inference
stochastic processes
True Variant
undergraduate probability statistics textbook
univariate distributions
Product details
- ISBN 9780824790370
- Weight: 907g
- Dimensions: 152 x 229mm
- Publication Date: 20 Apr 1993
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.
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