£125.43

Springer - Biased Sampling and Over-identified Parameter Problems

Name: Springer - Biased Sampling and Over-identified Parameter Problems
Brand: Springer
Price: 128.26 GBP
Availability: InStock

Econometrics

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Description

This specialized text from the ICSA Book Series in Statistics provides a deep dive into biased sampling problems and over-identified parameter estimation. Often referred to as choice-based sampling within the field of Econometrics, these challenges are common across various research disciplines. Whether you are working in Medicine, Epidemiology, Public Health, the Social Sciences, or Economics, understanding these sampling complexities is vital for accurate data analysis. The book covers a wide range of essential topics to support advanced research and statistical modeling. Readers will find detailed coverage of case and control studies, causal inference, and missing data problems. It also explores technical areas such as meta-analysis, renewal processes, length biased sampling, and capture and recapture problems. Additionally, the text addresses case cohort studies and exponential tilting genetic mixture models, making it a comprehensive resource for statisticians and researchers seeking to solve complex estimation problems.

Key Features

Covers biased sampling problems also known as choice-based sampling in Econometrics parlance.

Addresses over-identified parameter estimation problems for advanced statistical research.

Provides solutions for diverse fields including Medicine, Epidemiology, and Public Health.

Includes detailed sections on causal inference and missing data problems.

Explores specialized topics like meta-analysis and renewal process problems.

Discusses capture and recapture problems and case cohort studies.

Covers exponential tilting genetic mixture models for technical applications.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9811352496
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 09 December 2018
Listed Since: 10 December 2018

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Springer - Biased Sampling and Over-identified Parameter Problems

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