Maximum Likelihood for Social Science: Strategies for...

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Maximum Likelihood for Social Science:...

Maximum Likelihood for Social Science: Strategies for Analysis

Michael D. Ward, John S. Ahlquist

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როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

კატეგორია:

Society, Politics & Philosophy

წელი:

2018

გამომცემლობა:

Cambridge University Press

ენა:

english

გვერდები:

200

ISBN 10:

1107185823

ISBN 13:

9781107185821

სერია:

Analytical Methods for Social Research

ფაილი:

PDF, 3.43 MB

IPFS:

,

english, 2018

ონლაინ წაკითხვა

ჩატვირთვა (pdf, 3.43 MB)

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Russell B. Millar — Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)

Geoffrey J. McLachlan, Thriyambakam Krishnan — The EM Algorithm and Extensions

Gary King — Unifying Political Methodology: The Likelihood Theory of Statistical Inference

Janet M. Box-Steffensmeier, Bradford S. Jones — Event History Modeling: A Guide for Social Scientists (Analytical Methods for Social Research)

Harvey A.C — Forecasting, Structural Time Series Models and the Kalman Filter

Gehlbach, Scott — Formal models of domestic politics

Tore Schweder; Nils Lid Hjort — Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions

Janet M. Box-Steffensmeier; John R. Freeman; Jon C. Pevehouse; Matthew Perry Hitt — Time Series Analysis for the Social Sciences

David Darmofal — Spatial Analysis for the Social Sciences

Scott R. Eliason — Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)

J. Scott Long — Regression Models for Categorical and Limited Dependent Variables

William Greene, R. Carter Hill — Maximum Simulated Likelihood Methods and Applications.

Andrew Gelman, Jennifer Hill, Aki Vehtari — Regression and Other Stories

Russell Warne — Statistics for the Social Sciences: A General Linear Model Approach

R L Chambers — Maximum likelihood estimation for sample surveys

William Gould, Jeffrey Pitblado, Brian Poi — Maximum Likelihood Estimation with Stata, Fourth Edition

Agresti & Alan — An Introduction to Categorical Data Analysis

Frank E. Harrell, Jr. — Regression Modeling Strategies

Daniel Zelterman — Models for discrete data

David Hosmer, Stanley Lemeshow, Rodney Sturdivant — Applied Logistic Regression

Alan Agresti — An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)

Agresti, Alan — Categorical Data Analysis (Wiley Series in Probability and Statistics)

Chris J. Lloyd — Statistical Analysis of Categorical Data

David W. Hosmer, Stanley Lemeshow — Applied logistic regression

Alan Agresti — Categorical Data Analysis

Elisa T. Lee, John Wang — Statistical Methods for Survival Data Analysis

Philip Hans Franses, Richard Paap — Quantitative models in marketing research

Cramer J.S. — Logit models from economics and other fields

J. S. Cramer — Logit Models from Economics and other Fields

J. S. Cramer — Logit Models from Economics and Other Fields

Tom Leonard — A Course in Categorical Data Analysis (Chapman & Hall Texts in Statistical Science)

Leonard, Thomas; Papasouliotis, Orestis — A course in categorical data analysis

Alan Agresti — An Introduction to Categorical Data Analysis, Third Edition

Alan Agresti — An Introduction to Categorical Data Analysis, Third Edition

Michael Smithson, Edgar C. Merkle — Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Konishi, Sadanori — Introduction to Multivariate Analysis: Linear and Nonlinear Modeling

Konishi, Sadanori — Introduction to multivariate analysis: linear and nonlinear modeling

Ronald Christensen (auth.) — Log-Linear Models

Peter Martin — Regression Models for Categorical and Count Data

Elisa T. Lee, John Wenyu Wang, John Wang — Statistical Methods for Survival Data Analysis

Frank E. Harrell , Jr. (auth.) — Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

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