Bilinear Regression Analysis

Dietrich von Rosen is a professor at the Department of Energy and Technology at the Swedish University of Agricultural Sciences. He graduated in mathematical statistics from Stockholm University, Sweden. His main research interest is multivariate analysis and its extensions, including repeated measurements analysis and high-dimensional analysis. He has published more than 100 papers, the majority of which are within the above areas, as well as a book on advanced multivariate statistics and matrices in collaboration with Tõnu Kollo, professor of mathematical statistics at the University of Tartu, Estonia.

• Preface.- Introduction.- The Basic Ideas of Obtaining MLEs: A Known Dispersion.- The Basic Ideas of Obtaining MLEs: Unknown Dispersion.- Basic Properties of Estimators.- Density Approximations.- Residuals.- Testing Hypotheses.- Influential Observations.- Appendices.- Indices.

“It is an interesting book, strongly recommended to researchers who have an interest in the topic of bilinear regression.” (Michel H. Montoril, Mathematical Reviews, August, 2019)“The present book offers a complete presentation of the statistical techniques concerning bilinear regression analysis. … A special mention goes to the bibliography that accompanies each chapter. Far from being a simple list of papers containing the results recalled in the text, it is a real history of statistics, where the early ideas of bilinear regression are highlighted.” (Fabio Rapallo, zbMATH 1398.62003, 2018)