Artificial intelligence and machine learning applications in biopharmaceutical manufacturing
Artificial intelligence and machine learning (AI–ML) offer vast potential in optimal design,
monitoring, and control of biopharmaceutical manufacturing. The driving forces for adoption …
monitoring, and control of biopharmaceutical manufacturing. The driving forces for adoption …
A re-evaluation of random-effects meta-analysis
JPT Higgins, SG Thompson… - Journal of the Royal …, 2009 - academic.oup.com
Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by
using a random-effects model, in which the effects underlying different studies are assumed …
using a random-effects model, in which the effects underlying different studies are assumed …
[图书][B] Regression analysis of count data
AC Cameron, PK Trivedi - 2013 - books.google.com
" Introduction God made the integers, all the rest is the work of man.-Kronecker. This book is
concerned with models of event counts. An event count refers to the number of times an …
concerned with models of event counts. An event count refers to the number of times an …
Multilevel analysis: An introduction to basic and advanced multilevel modeling
TAB Snijders, R Bosker - 2011 - torrossa.com
Multilevel analysis is a methodology for the analysis of data with complex patterns of
variability, with a focus on nested sources of such variability–pupils in classes, employees in …
variability, with a focus on nested sources of such variability–pupils in classes, employees in …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
[图书][B] The EM algorithm and extensions
GJ McLachlan, T Krishnan - 2007 - books.google.com
The only single-source——now completely updated and revised——to offer a unified
treatment of the theory, methodology, and applications of the EM algorithm Complete with …
treatment of the theory, methodology, and applications of the EM algorithm Complete with …
On the convergence properties of the EM algorithm
CFJ Wu - The Annals of statistics, 1983 - JSTOR
Two convergence aspects of the EM algorithm are studied:(i) does the EM algorithm find a
local maximum or a stationary value of the (incomplete-data) likelihood function?(ii) does the …
local maximum or a stationary value of the (incomplete-data) likelihood function?(ii) does the …
[图书][B] Generalized, linear, and mixed models
CE McCulloch, SR Searle, JM Neuhaus - 2001 - Wiley Online Library
The availability of powerful computing methods in recent decades has thrust linear and
nonlinear mixed models into the mainstream of statistical application. This volume offers a …
nonlinear mixed models into the mainstream of statistical application. This volume offers a …
Springer Series in Statistics
Hidden Markov models—most often abbreviated to the acronym “HMMs”—are one of the
most successful statistical modelling ideas that have came up in the last forty years: the use …
most successful statistical modelling ideas that have came up in the last forty years: the use …
Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm
RD Bock, M Aitkin - Psychometrika, 1981 - Springer
Maximum likelihood estimation of item parameters in the marginal distribution, integrating
over the distribution of ability, becomes practical when computing procedures based on an …
over the distribution of ability, becomes practical when computing procedures based on an …