Krewski D (9 results)

- Hardcover
Seller: Bay Used Books, Sudbury, ON, CanadaBay Used Books
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Condition: Very Good. Very good condition. Light wear. Binding tight, pages clean. Pictures available upon request.? AP.

Quantitative Estimation and Prediction of Human Cancer Risks
Moolgavkar, Suresh H. (EDT); Cardis, E. (EDT); Krewski, D. (EDT); Woodward, A. (EDT); Moller, H. (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Quantitative Estimation and Prediction of Human Cancer Risks
Moolgavkar, Suresh H. (EDT); Cardis, E. (EDT); Krewski, D. (EDT); Woodward, A. (EDT); Moller, H. (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.

Quantitative Estimation and Prediction of Human Cancer Risks (IARC Scientific Publications, 66)
Möller, H.; Moolgavkar, S.; Zeise, L; Cardis, E.; Krewski, D.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.

Quantitative Estimation and Prediction of Human Cancer Risks
Moolgavkar, Suresh H. (EDT); Cardis, E. (EDT); Krewski, D. (EDT); Woodward, A. (EDT); Moller, H. (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Published by Academic Press Inc. 1981
- Hardcover
Seller: Librairie à la bonne occasion, Lévis, QC, CanadaLibrairie à la bonne occasion
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Hard Cover. Condition: 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 adjust…ed 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.

Quantitative Estimation and Prediction of Human Cancer Risks
Moolgavkar, Suresh H. (EDT); Cardis, E. (EDT); Krewski, D. (EDT); Woodward, A. (EDT); Moller, H. (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 70.62
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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US$ 133.93
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Paperback. Condition: Brand New. 526 pages. 9.25x6.00x1.19 inches. In Stock.

- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 93.82
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Taschenbuch. Condition: 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 ot…hers 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.