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Titlebook: Sampling Theory for Forest Inventory; A Teach-Yourself Cou Pieter G. Vries Book 1986 Springer-Verlag Berlin Heidelberg 1986 forest.growth.i

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书目名称Sampling Theory for Forest Inventory
副标题A Teach-Yourself Cou
编辑Pieter G. Vries
视频video
图书封面Titlebook: Sampling Theory for Forest Inventory; A Teach-Yourself Cou Pieter G. Vries Book 1986 Springer-Verlag Berlin Heidelberg 1986 forest.growth.i
描述Forest inventory may be defined as the technique of collecting, evaluating and presenting specified information on forest areas. Because of the generally la~ge extent of forest areas, data are usually collected by sampling, i.e. by making observations on only part of the area of interest. As there are many different sampling methods (e.g. Appendix 1), a choice must first be made as to which method suits the given field and financial circumstances best. On completion of the sampling procedure, the numerous data collected have next to be condensed to manageable representative quantities. Finally, from these quantities, inferences about the situation in the entire forest area are made, preferably accompanied by an indication of their reliability. This book is intended for students who want to know the whepefope of the sampling techniques used in forest inventory. The danger of lack of knowledge is a blind following of instructions and copying statistical formulae, or, even worse, feeding data into a computer loaded with a program that is said to print out the required information. In serious persons, such approaches may leave a feeling of dissatisfaction or even of professional incomp
出版日期Book 1986
关键词forest; growth; illustration; mutation
版次1
doihttps://doi.org/10.1007/978-3-642-71581-5
isbn_softcover978-3-540-17066-2
isbn_ebook978-3-642-71581-5
copyrightSpringer-Verlag Berlin Heidelberg 1986
The information of publication is updating

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https://doi.org/10.1007/978-3-642-71581-5forest; growth; illustration; mutation
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Ratio Estimators in Simple Random Sampling,In discussing the theories of Simple and Stratified Random Sampling we have not stipulated that the sampling units should be of equal size. Evidently, the latter may be mutually equal or unequal.
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