Condizione: Good. Good condition. Good dust jacket. Volume 3. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Lingua: Inglese
Editore: CRC Press, Boca Raton, Florida USA, 1985
ISBN 10: 0849359775 ISBN 13: 9780849359774
Da: Bay Used Books, Sudbury, ON, Canada
EUR 12,73
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Very Good. Very good condition. Light wear. Binding tight, pages clean. Pictures available upon request.? AP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 57,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 58,95
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 55,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 55,23
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Aggiungi al carrelloCondizione: New.
Editore: Academic Press Inc., 1981
ISBN 10: 0124262805 ISBN 13: 9780124262805
Da: Librairie à la bonne occasion, Lévis, QC, Canada
EUR 22,27
Quantità: 1 disponibili
Aggiungi al carrelloHard Cover. Condizione: Good. 509 pages; Proceedings of the International Symposium on Survey Sampling Held in Ottawa, Canada, May7-9, 1980. Topics covered: The Survey Statistician's responsibility for both sampling and measurement errors - Estimation and design of nonsampling errors of surveys - Should the Census count be adjusted for allocation purposes ? Wquity considerations - 22 years of survey research at the Research triangle Institute, 1959-1980. - Cost benefit analysis of controls in surveys - Survey sampling activities at the survey Research Center - Survey Research at the Bureau of the Census - Survey design under superpopulation models - Estimation for nonresponse situations: To what extent must we rely on Models? - Chi-squared tests for Contigency tables with proportions estimated from Survey data - Regression analysis for Complex surveys - Estimation of the mean Square Error of the ratio estimator - Non-negative unbiaised variance estimators - Variance estimators for a sequential sample selection procedure - Mail surveys of Migratory game birds in North America - On the problem of variance estimation for a deseasonalized series - The effects of procedures which impute for missing items: A simulation study using an agricultural survey - Data adjustment procedures in the 1981 Canadian census of population and housing - Issues of nonresponse and imputation in the survey of income and program participation. ----------------------Cloth hardcover with slightly rubbed cover. Book is clean inside, without any markings and solid. Good condition. Size: 8vo. Livre.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,99
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 115,64
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 526 pages. 9.25x6.00x1.19 inches. In Stock.
Lingua: Inglese
Editore: World Health Organization Dez 1999, 1999
ISBN 10: 9283221311 ISBN 13: 9789283221319
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 78,58
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This volume assesses formal methods for the quantitative estimation and prediction of human cancer risks. Quantitative estimates of cancer risk can be expressed in different ways. In some cases estimates of risk under conditions prevailing in the original data are of primary interest; in others predictions of risk under other conditions are required. Estimates of risk may be based on empirical models that provide a reasonable description of the available data or on models developed on the basis of plausible assumptions about the mechanisms of carcinogenesis. Throughout this volume established scientific principles of carcinogenesis are used to support methods proposed for the quantitative estimation and prediction of risk.