Maximum likelihood estimation of oncogenetic tree models

✍ Scribed by von Heydebreck A.

Year: 2004
Tongue: English
Leaves: 12
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Maximum Likelihood Estimation of Misspec

📁 Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later

✍ T. Fomby & R. Carter Hill (Editors) 📂 Library 📅 2003 🏛 Emerald Group Publishing 🌐 English

This volume is the result of an Advances in Econometrics conference held in November of 2002 at Louisiana State University in recognition of Halbert White's pioneering work published in Econometrica in 1980 and 1982 on robust variance-covariance estimation and quasi-maximum likelihood estimation. It

Maximum Likelihood Estimation of Functio

📁 Maximum Likelihood Estimation of Functional Relationships

✍ Nico J. D. Nagelkerke (auth.) 📂 Library 📅 1992 🏛 Springer-Verlag New York 🌐 English

<p>The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. We are familiar with the bivariate linear relationship having measurement errors in both variables and the fact that the standard regress

Maximum Likelihood Estimation of Misspec

📁 Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later, Volume 17

✍ T. Fomby, R. Carter Hill, Thomas B. Fomby 📂 Library 📅 2003 🏛 Emerald Group Publishing Limited 🌐 English

Eleven papers focus on maximum likelihood estimation in the presence of misspecified models, or quasi-maximum likelihood estimation, and recognize Halbert White's pioneering work on the topic beginning in 1982.

Marginal Maximum Likelihood Estimation o

📁 Marginal Maximum Likelihood Estimation of Item Response Models in R + Code

✍ Johnson M.S. 📂 Library 🌐 English

Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items. The most common IRT models can be classified as generalized linear fixed- and/or mixed-effect models. Although IRT models

Maximum likelihood estimation of ordered

📁 Maximum likelihood estimation of ordered multinomial parameters

✍ Jewell N.P. 📂 Library 📅 2004 🌐 English

Maximum Penalized Likelihood Estimation

📁 Maximum Penalized Likelihood Estimation Volume I: Density Estimation

✍ P. P. B. Eggermont ; V. N. LaRiccia 📂 Library 📅 2001 🏛 springer 🌐 English

This book is intended for graduate students in statistics and industrial mathematics, as well as researchers and practitioners in the field. We cover both theory and practice of nonparametric estimation. The text is novel in its use of maximum penalized likelihood estimation, and the theory of conve