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Praise for the First Edition
"This impressive and eminently readable text. [is] a welcome addition to the statistical literature."
--The Indian Journal of Statistics
Revised to reflect the current developments on the topic, Linear Statistical Models, Second Edition provides an up-to-date appr...
Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and ...
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understan...
Probability models are now a vital componentof every scienti c investigation. This book is intended to introduce basic ideas in stochastic modeling, with emphasis on models and techniques. These models lead to well-known parametric lifetime distributions, such as exponential, Weibull, and gamma dist...
The goal of image interpretation is to convert raw image data into me- ingful information. Images are often interpreted manually. In medicine, for example, a radiologist looks at a medical image, interprets it, and tra- lates the data into a clinically useful form. Manual image interpretation is, ho...
A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivaria...
Throughout the social, medical and other sciences the importance ofunderstanding complex hierarchical data structures is wellunderstood. Multilevel modelling is now the accepted statisticaltechnique for handling such data and is widely available incomputer software packages. A thorough understanding...
During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac table models. Faced with this inflation. applied statisticians feel more and more un comfortable: they are often hesitant about their t...
During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac table models. Faced with this inflation. applied statisticians feel more and more un comfortable: they are often hesitant about their t...
Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and ...
Linear Statistical Models
Developed and refined over a period of twenty years, the materialin this book offers an especially lucid presentation of linearstatistical models. These models lead to what is usually called"multiple regression" or "analysis of variance" methodology, which,in turn, opens up...
Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and ...
Throughout the social, medical and other sciences the importance ofunderstanding complex hierarchical data structures is wellunderstood. Multilevel modelling is now the accepted statisticaltechnique for handling such data and is widely available incomputer software packages. A thorough understanding...
The goal of image interpretation is to convert raw image data into me- ingful information. Images are often interpreted manually. In medicine, for example, a radiologist looks at a medical image, interprets it, and tra- lates the data into a clinically useful form. Manual image interpretation is, ho...
The goal of image interpretation is to convert raw image data into me- ingful information. Images are often interpreted manually. In medicine, for example, a radiologist looks at a medical image, interprets it, and tra- lates the data into a clinically useful form. Manual image interpretation is, ho...
Probability models are now a vital componentof every scienti c investigation. This book is intended to introduce basic ideas in stochastic modeling, with emphasis on models and techniques. These models lead to well-known parametric lifetime distributions, such as exponential, Weibull, and gamma dist...
Statistical Models for Strategic Management offers practical guidance in the use of statistical models for empirical research in strategic management. The contributions in this edited volume come from distinguished researchers in the field of Strategic Management, and provide illustration of mos...