{ "item_title" : "Sampling Techniques for Forest Inventories", "item_author" : [" Daniel Mandallaz "], "item_description" : "Containing many recent developments available for the first time in book form, this concise and up-to-date work presents the statistical concepts and tools needed to conduct a modern forest inventory. It develops the Monte Carlo approach for both simple and complex sampling schemes and explores design-based, model-assisted, and model-dependent inference, including geostatistics and Kriging procedures. The book also explains the design of optimal sampling schemes based on anticipated variance, introduces the g-weight technique for variance estimation, and presentsthe stereological approach to transect sampling. In addition, it includes numerous case studies, simulations, and instructive problems with solutions.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/58/488/976/1584889764_b.jpg", "price_data" : { "retail_price" : "165.00", "online_price" : "165.00", "our_price" : "165.00", "club_price" : "165.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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