ebook,Marc Lavielle,Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools (Chapman & Hall/CRC Biostatistics Series Book 66),Chapman and Hall/CRC,Linear & Nonlinear Programming,Bayesian approaches,Biometry,Biometry;methods.,Biostatistics,Epidemiology & medical statistics,General Adult,LINEAR PROGRAMMING,Linear & Nonlinear Programming,MATHEMATICAL STATISTICS,MATHEMATICS / Linear & Nonlinear Programming,MATHEMATICS / Probability & Statistics / General,MEDICAL / Biostatistics,MEDICAL / Pharmacology,Markov chain Monte Carlo (MCMC),Mathematics,Medical/Biostatistics,Medical/Pharmacology,Models, Statistical,Models, Statistical.,Monograph Series, any,Monolix software,NONLINEAR PROGRAMMING,Non-Fiction,Parametric Modeling in Linear and Nonlinear Mixed Effects Models,Pharmacology,Population & demography,Population Characteristics,Population Characteristics.,Probability & Statistics - General,Probability & statistics,Science/Math,Science/Mathematics,Social Science/Demography,TEXT,Textbooks (Various Levels),United States,importance sampling,methods,mixed effects and hierarchical models,model representation for different data types,parameter estimation and modeling,stochastic approximation of the EM algorithm (SAEM),Biostatistics,MATHEMATICS / Linear & Nonlinear Programming,MATHEMATICS / Probability & Statistics / General,MEDICAL / Biostatistics,MEDICAL / Pharmacology,Medical/Biostatistics,Medical/Pharmacology,Pharmacology,Probability & Statistics - General,Social Science/Demography,Mathematics,Linear Programming,Nonlinear Programming,Biometry,Models, Statistical,Population Characteristics,methods,Science/Mathematics,Epidemiology & medical statistics,Probability & statistics" />