Contribution to Applied Statistics: Dedicated to Professor Arthur Linder (Paperback, Softcover Repri)

General Outlooks.- Some Aspects of the History of Biometric Method in the Twentieth Century with a Special Reference to Prof. Linder's Work.- Einige Bemerkungen zur Grundlagensituation in der Statistik.- Some General Reflections on Statistical Practice.- Side Influences of Biometricians.- Sampling.- Sample-Dependent Estimation in Survey Sampling.- On Variances of Estimators of a Total Population Under Several Procedures of Sampling.- Some Remarks on the Concepts of Size-Distribution in the Study of Small Particles.- Der Einfluss der Genauigkeit des Messgerates beim "Auslesen" nicht-masshaltiger Teile aus einer Fertigung.- Verfahren und Erfahrungen bei Insektenpopulationsschatzungen.- Estimation.- Vertrauensbereiche fur den Quotienten von Mittelwerten zweier Normalverteilungen, wenn die Stichproben klein sind.- Sequential Estimation of the Parameter ? of a Binomial Distribution.- Investigating the Quantile of an Unknown Distribution.- Testing.- Augmenting Shapiro-Wilk Test for Normality.- Fitting Constants in Cross-Classification Models with Irregular Patterns of Empty Cells.- The Random Analysis of Variance Model and the Wrong Test.- On an Approximate Test for Homogeneity of Coefficients of Variation.- Analyse eines Cross-Over-Versuches mit Anteilziffern.- Nonparametric Analysis of Variance - Tables of Critical Values.- A Special Use of the General Interpretation for the One-Way Analysis of Variance in Population Genetics of Quantitative Characters.- Relationships.- L'emploi d'equations de regression simultanees dans le calcul de tables de production forestieres.- Identification.- Stability of Distance Between Structured Groups in a Social Organism: Empirical Research.- Miscellaneous.- Statistical Designs from Room's Squares with Applications.- Un modele d'elimination et de croissance.- Interet du diagramme (? 1, ? 2) de K. Pearson et du diagramme (? 1, ? 2) dans le champ bio-medical.- Some Further Theory of Search Linear Models.- Zum Problem der Optimum-Eigenschaften von SPR-Tests.