9780387954073 - Sample Survey Theory: Some Pythagorean Perspectives (Springer Series in Statistics) von Knottnerus, Paul (5 Ergebnisse)

21 figs., XIX, 417 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Series in Statistics. Sprache: Englisch.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Sehr gut. 419 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 969 23,6 x 15,5 x 2,5 cm, Gebundene Ausgabe.

Gebunden. Zustand: New. This book describes a novel approach to the theory of sampling from finite populations. The new unifying approach is based on the sampling autocorrelation coefficient. The author derives a general set of sampling equations that describe the estimators, t.

Buch. Zustand: Neu. Neuware - This volume deals primarily with the classical question of how to draw conclusions about the population mean of a variable, given a sample with observations on that variable. Another classical question is how to use prior knowledge of an economic or definitional relationship between the popu lation means of several variables, provided that the variables are observed in a sample. The present volume is a compilation of two discussion papers and some additional notes on these two basic questions. The discussion papers and notes were prepared for a 15-hour course at Statistics Nether lands in Voorburg in February 2000. The first discussion paper is entitled 'A Memoir on Sampling and Rho, the Generalized Intrasample Correlation Coefficient' (1999). It describes a new approach to the problem of unequal probability sampling. The second discussion paper 'The General Restric tion Estimator' (2000), deals with the problem of how to find constrained estimators that obey a given set of restrictions imposed on the parameters to be estimated. Parts I and II of the volume provide a novel and systematic treatment of sampling theory considered from the angle of the sampling autocorrelation coefficient p (rho). The same concept plays an important role in the analysis of time series. Although this concept is also well known in sampling theory, for instance in cluster sampling and systematic sampling, generalizations of p for an arbitrary sampling design are to my knowledge not readily found in the literature.