E Walter, L Pronzato - Mathematics and computers in simulation, 1996 - Elsevier
Testing parametric models for identifiability and distinguishability is important when the parameters to be estimated have a physical meaning or when the model is to be used to …
GEP Box, WG Hunter - Technometrics, 1962 - Taylor & Francis
A simple technique useful in iterative model-building is described. In this a statistical analysis is applied to the estimated parameters rather than to the observations directly. This …
Introduction to and survey of parameter estimation; Probability; Introduction to statistics; Parameter estimation methods; Introduction to linear estimation; Matrix analysis for linear …
The object of much experimentation is to find out how a number of experimental variables, such as temperature, pressure, concentration, etc., affect a response, such as yield, and, in …
The necessity to publish the second edition of this book arose when its third German edition had just been published. This second English edition is there fore a translation of the third …
Real life phenomena in engineering, natural, or medical sciences are often described by a mathematical model with the goal to analyze numerically the behaviour of the system …
Identifiability of Parametric Models provides a comprehensive presentation of identifiability. This book is divided into 11 chapters. Chapter 1 reviews the basic methods for structural …
JA Nelder - Statistics and computing, 1994 - Springer
Inference from the fitting of linear models is basic to statistical practice, but the development of strategies for analysis has been hindered by unnecessary complexities in the descriptions …
A Buja, L Brown, R Berk, E George, E Pitkin, M Traskin… - Statistical Science, 2019 - JSTOR
In the early 1980s, Halbert White inaugurated a" model-robust" form of statistical inference based on the" sandwich estimator" of standard error. This estimator is known to be" …