This book is a translation of the third German edition of "Parameterschätzung und Hypothesentests in linearen Modellen" published in 1997. It is the second English edition of the book, which was first published in 1999. The book provides a self-contained presentation of methods for parameter estimation, hypothesis testing, and interval estimation in linear models. It includes vector and matrix algebra, probability theory, and statistical inference. The book is intended for engineers, students, and professionals applying statistical methods to practical problems. The second edition includes a new chapter on robust estimation of parameters and omits the section on discriminant analysis, which is more thoroughly covered in another book. The first edition was a translation of the second German edition published in 1987. It was written to provide a comprehensive understanding of statistical inference for parameters, with an emphasis on practical applications rather than theoretical definitions and proofs. The book covers linear models for parameter estimation and hypothesis testing, as well as interval estimation, hypothesis testing, and discriminant analysis. It includes probability theory, random variables, distributions, and test distributions for univariate and multivariate models. The book also discusses the Gauss-Markoff model, parameter estimation methods, and hypothesis testing. It includes a chapter on interval estimation, outlier testing, and confidence intervals. The book is structured into chapters on vector and matrix algebra, probability theory, parameter estimation in linear models, hypothesis testing, interval estimation, and outlier testing. It includes references and an index. The book is written for a broad audience, including engineers, students, and professionals in various fields. It is a comprehensive resource on statistical inference in linear models.This book is a translation of the third German edition of "Parameterschätzung und Hypothesentests in linearen Modellen" published in 1997. It is the second English edition of the book, which was first published in 1999. The book provides a self-contained presentation of methods for parameter estimation, hypothesis testing, and interval estimation in linear models. It includes vector and matrix algebra, probability theory, and statistical inference. The book is intended for engineers, students, and professionals applying statistical methods to practical problems. The second edition includes a new chapter on robust estimation of parameters and omits the section on discriminant analysis, which is more thoroughly covered in another book. The first edition was a translation of the second German edition published in 1987. It was written to provide a comprehensive understanding of statistical inference for parameters, with an emphasis on practical applications rather than theoretical definitions and proofs. The book covers linear models for parameter estimation and hypothesis testing, as well as interval estimation, hypothesis testing, and discriminant analysis. It includes probability theory, random variables, distributions, and test distributions for univariate and multivariate models. The book also discusses the Gauss-Markoff model, parameter estimation methods, and hypothesis testing. It includes a chapter on interval estimation, outlier testing, and confidence intervals. The book is structured into chapters on vector and matrix algebra, probability theory, parameter estimation in linear models, hypothesis testing, interval estimation, and outlier testing. It includes references and an index. The book is written for a broad audience, including engineers, students, and professionals in various fields. It is a comprehensive resource on statistical inference in linear models.