دانلود رایگان کتاب لاتینSampling Techniques for Forest Inventories «شیوه های نمونه برداری برای آماربرداری در جنگل »

Sampling Techniques for Forest Inventories 

 Applied Environmental Statistics

دانلود رایگان کتاب لاتین «شیوه های نمونه برداری برای آماربرداری در جنگل »

 

 

 

Published Titles
Timothy G. Gregoire and Harry T. Valentine, Sampling Strategies for Natural Resources and the Environment
Steven P. Millard and Nagaraj K. Neerchal, Environmental Statistics with S Plus
Michael E. Ginevan and Douglas E. Splitstone, Statistical Tools for Environmental Quality
Daniel Mandallaz, Sampling Techniques for Forest Inventory

 


Abstract

The book was written as a textbook that clearly explains the sampling methods associated with forest inventory for the practitioner. Examples are used extensively throughout the book to illustrate various estimators and to demonstrate different uses for sampling methods. Problems (with answers) are also included at the end of each chapter. The 11 chapters are: Introduction; A review of necessary statistics and notation; Elementary sampling methods: selective, simple random and systematic sampling; Horizontal point sampling; Stratified random sampling; Ratio and regression estimators; Double sampling or two-phase sampling; Multistage sampling – inventorying large acreages; Inventory methods for estimating stand growth; 3P and line intersect sampling; and Estimating wildlife population sizes. There is a subject index.

Book Description

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, Sampling Techniques for Forest Inventories presents the statistical concepts and tools needed to conduct a modern forest inventory.

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.

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