Statistical Inference Based on the likelihood Statistical Inference Based on the likelihood
    • $62.99

Publisher Description

The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood.

Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.

GENRE
Science & Nature
RELEASED
2017
November 13
LANGUAGE
EN
English
LENGTH
352
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
10.2
MB
Essentials of Statistical Inference Essentials of Statistical Inference
2005
Asymptotic Analysis of Mixed Effects Models Asymptotic Analysis of Mixed Effects Models
2017
Linear Models and Generalizations Linear Models and Generalizations
2007
Advanced Linear Modeling Advanced Linear Modeling
2019
Statistical Methods for Handling Incomplete Data Statistical Methods for Handling Incomplete Data
2021
Statistical Foundations, Reasoning and Inference Statistical Foundations, Reasoning and Inference
2021
The Skew-Normal and Related Families The Skew-Normal and Related Families
2013
Data Analysis and Data Mining Data Analysis and Data Mining
2012
Introduction to Time Series Modeling with Applications in R Introduction to Time Series Modeling with Applications in R
2020
Markov Models & Optimization Markov Models & Optimization
2018
Statistical Evidence Statistical Evidence
2017
Statistical Inference Statistical Inference
2017
Hierarchical Modeling and Analysis for Spatial Data Hierarchical Modeling and Analysis for Spatial Data
2025
Robust Small Area Estimation Robust Small Area Estimation
2025