This book presents Bayes’ theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters. It does so in a simple manner that is easy to comprehend. The book compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed.
From the reviews of the second edition:
"This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. a ] There is a good treatment of Bayesian Analysis of Linear Models a ] . The references are very interesting a ] by a group of scientists of whose work many of us in the Statistical profession may not be aware. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)
Aus den Rezensionen zur 2. Auflage:
" Es ist sch n zu sehen, dass K.-R. Koch die Zeit gefunden hat, sein exzellentes Lehrbuch zur Bayes-Statistik in verschiedenen Teilen an den Stand der Forschung anzupassen und - mit dem bergang auf die englische Sprache - zu internationalisieren. Die jetzt in zweiter Auflage vorliegende Einf hrung ist ohne Zweifel ein u erst n tzliches und sehr zu empfehlendes Grundlagenwerk f r die in Forschung und Lehre t tigen Kollegen aller Fachgebiete innerhalb der Geod sie und Geoinformatik, f r die Studierenden, insbesondere in den Master-Studieng ngen " (Hansj rg Kutterer, in: zfv - Zeitschrift f r Geod sie, Geoinformation und Landmanagement, 2009, Vol. 134, Issue 3, S. 185 f.)
Aus den Rezensionen zur 2. Auflage: " Es ist sch n zu sehen, dass K.-R. Koch die Zeit gefunden hat, sein exzellentes Lehrbuch zur Bayes-Statistik in verschiedenen Teilen an den Stand der Forschung anzupassen und - mit dem bergang auf die englische Sprache - zu internationalisieren. Die jetzt in zweiter Auflage vorliegende Einf hrung ist ohne Zweifel ein u erst n tzliches und sehr zu empfehlendes Grundlagenwerk f r die in Forschung und Lehre t tigen Kollegen aller Fachgebiete innerhalb der Geod sie und Geoinformatik, f r die Studierenden, insbesondere in den Master-Studieng ngen " (Hansj rg Kutterer, in: zfv - Zeitschrift f r Geod sie, Geoinformation und Landmanagement, 2009, Vol. 134, Issue 3, S. 185 f.)
From the reviews of the second edition: "This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. There is a good treatment of Bayesian Analysis of Linear Models . The references are very interesting by a group of scientists of whose work many of us in the Statistical profession may not be aware. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)
From the reviews of the second edition:
"This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. There is a good treatment of Bayesian Analysis of Linear Models . The references are very interesting by a group of scientists of whose work many of us in the Statistical profession may not be aware. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)"
From the reviews of the second edition:
"This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. There is a good treatment of Bayesian Analysis of Linear Models . The references are very interesting by a group of scientists of whose work many of us in the Statistical profession may not be aware. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)"
From the reviews of the second edition:
"This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. ... There is a good treatment of Bayesian Analysis of Linear Models ... . The references are very interesting ... by a group of scientists of whose work many of us in the Statistical profession may not be aware. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)
