Experimental Design: Sample Size Determination and Block Designs

ISBN-13: 9789027716842 / Angielski / Twarda / 1986 / 200 str.

D. Raschj; G. Herrendorfer; Dieter Rasch

O autorze

Dieter Rasch, 1949-1953 Oberschule, Zella Mehlis, Abiturabschluß
1953-1955 Student at the University of Jena, Mathematics
1955-1958 Student at the University of Leipzig, Ma thematical Statistics
1958 Master thesis on Estimation of Heritabi lities
1958-1991 Member of the Research Centre of Animal Production Dummerstorf Rostock (FZT), Germany
1960-1991 Lectures in Statistics at the University of Rostock, Germany
1961-1991 Head of the department of Biometry of the Research Centre of Animal Production Dummerstorf Rostoc
1961 PhD at the Math. Nat. Fakultät of the Universi ty of Leip zig (Factor Analysis)
1965 Habilitation (Analysis of Growth Curves) at the University of Rostock
1966-1978 Honorary Assistent Professor for Mathema tical Statistics at the University of Halle
1978-1991 Honorary Professor for Probability Theory and Mathematical Statistics at the University of Rostock
1991-2000 Professor for Mathematical Statistics, Department of Mathematics, Agricultural University, Wageningen, The Netherlands
1993-2000 Head of the Section Mathematical Statis tics
1995-1998 Head of the Department of Mathematics
since April 2000 Guest at the Department of Mathematics, Agricultural University, Wageningen, The Netherlands
2000-2004 Senior researcher, BioMath GmbH Rostock, Germany
Apri- June 2000 Guest Professor at the University of Vienna, Inst. of Statistics
June 2001 Honorary Doctor degree from the St. Izstvan University Budapest
March-July 2003 Guest Professor at the Math. Inst. of the University of Klagenfurt
Oct. 2004 Jan. 2005 Guest Professor at the Math. Inst. of the University of Klagenfurt
Since 1.9.2006 Professor at the Inst. für Statistik und EDV, Univ. Für Bodenkultur, Wien
Special research topics:
Mathematical Statistics, Biometry, Population Genetics and Breeding, Analysis of growth curves, Nonlinear Regression, Robustness, Experimental Design, Clinical Trials.