Estimation of Volume in Timber Stands by Strip Sampling
نویسندگان
چکیده
منابع مشابه
Application of adaptive sampling in fishery part 1: Adaptive cluster sampling and its strip designs
Abstract: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solv...
متن کاملApplication of adaptive sampling in fishery part 1: Adaptive cluster sampling and its strip designs
Abstract: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solved the...
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the main purpose of this research was to:1.develop a coking model for thermal cracking of naphtha.2.study coke inhibition methods using different coke inhibitors.developing a coking model in naphtha cracking reactors requires a suitable model of the thermal cracking reactor based on a reliable kinetic model.to obtain reliable results all these models shall be solved simultaneously.for this pu...
15 صفحه اولEstimation of Subpopulation Parameters in One-stage Cluster Sampling Design
Sometimes in order to estimate population parameters such as mean and total values, we extract a random sample by cluster sampling method, and after completing sampling, we are interested in using the same sample to estimate the desired parameters in a subset of the population, which is said subpopulation. In this paper, we try to estimate subpopulation parameters in different cases when one-st...
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ژورنال
عنوان ژورنال: The Annals of Mathematical Statistics
سال: 1942
ISSN: 0003-4851
DOI: 10.1214/aoms/1177731605