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Sampling Techniques for Forest Inventories (Chapman & Hall/CRC Applied Environmental Statistics) by Daniel Mandallaz is a nonfiction available to read on EtoBox.
What is Sampling Techniques for Forest Inventories (Chapman & Hall/CRC Applied Environmental Statistics) about?
<p><P>Sound forest management planning requires cost-efficient approaches to optimally utilize given resources. Emphasizing the mathematical and statistical features of forest sampling to assess classical dendrometrical quantities, <b>Sampling Techniques for Forest Inventories</b> presents the statistical concepts and tools needed to conduct a modern forest inventory. <P>The book first examines design-based survey sampling and inference for finite populations, covering inclusion probabilities and the Horvitz—Thompson estimator, followed by more advanced topics, including three-stage element sampling and the model-assisted estimation procedure. The author then develops the infinite population model/Monte Carlo approach for both simple and complex sampling schemes. He also uses a case study to reveal a variety of estimation procedures, relies on anticipated variance to tackle optimal design for forest inventories, and validates the resulting optimal schemes with data from the Swiss National Forest Inventory. The last chapters outline facts pertaining to the estimation of growth and introduce transect sampling based on the stereological approach. <P>Containing many recent develop
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Common subject areas: history, science, philosophy, social sciences.
- Author
- Daniel Mandallaz
- Publisher
- Chapman & Hall/CRC; Chapman and Hall/CRC
- Published
- 2007
- Language
- EN
- ISBN
- 9780429144615
- Category
- nonfiction
- Subjects
- Mathematics, Science, Technology
Other editions & translations
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