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Title Details:
Intorduction: Basic Concepts of Probability Theory and Estimation
Authors: Kolyva Machaira, Foteini
Chatzopoulos, Stavros
Reviewer: Moyssiadis, Polychronis
Subject: MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > PARAMETRIC INFERENCE
Keywords:
Unbiased Estimator
Minimum Variance Unbiased Estimator
Efficient Estimator
Asymptotic Efficiency
Asymptotic Normality
Asymptotically Unbiased Estimator
Exponential Family
Estimator
Maximum Likelihood Estimator
Sufficient
Bias
Likelihood
Significance
Significance Level
Consistency
Relative Efficiency
Random Variable
Random Sample
Description:
Abstract:
Τhis introductory chapter provides useful definitions and theorems necessary for understanding the following chapters. We present concepts from the Theory of Probability and Estimation Theory.
Table of Contents:
Introduction -- Basic concepts of Probability Theory -- Basic concepts of Estimation Theory -- Exercises with Solutions -- Exercises.
Type: Chapter
Creation Date: 2015
Item Details:
License: http://creativecommons.org/licenses/by-nc-sa/3.0/gr
Handle http://hdl.handle.net/11419/1900
Bibliographic Reference: Kolyva Machaira, F., & Chatzopoulos, S. (2015). Intorduction: Basic Concepts of Probability Theory and Estimation [Chapter]. In Kolyva Machaira, F., & Chatzopoulos, S. 2015. Μαθηματική στατιστική [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/1900
Language: Greek
Is Part of: Μαθηματική στατιστική
Number of pages 37
Typical Learning Time: PT04H30M00S
Publication Origin: Kallipos, Open Academic Editions