Author: Russel G. Mitchell

Publisher: Forgotten Books

Published: 2017-11-10

Total Pages: 26

ISBN-13: 9780260765512

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Excerpt from Damage by the Sitka Spruce Weevil (Pissodes Strobi) And Growth Patterns for 10 Spruce Species and Hybrids Over 26 Years in the Pacific Northwest The relation between degree of weevil infestation and plantation age (fig. 2) was developed using smoothing procedures described by Tukey Data smoothing is an exploratory statistical procedure that summarizes data by describing the central trend and reducing variation. No assumptions are made about model form, and no mathematical prediction model is developed. This approach was selected because the temporal length of the data set was too short to be sure of a model form. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Download or read book Damage by the Sitka Spruce Weevil (Pissodes Strobi) and Growth Patterns for 10 Spruce Species and Hybrids Over 26 Years in the Pacific Northwest (Classic Reprint) written by Russel G. Mitchell and published by Forgotten Books. This book was released on 2017-11-10 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from Damage by the Sitka Spruce Weevil (Pissodes Strobi) And Growth Patterns for 10 Spruce Species and Hybrids Over 26 Years in the Pacific Northwest The relation between degree of weevil infestation and plantation age (fig. 2) was developed using smoothing procedures described by Tukey Data smoothing is an exploratory statistical procedure that summarizes data by describing the central trend and reducing variation. No assumptions are made about model form, and no mathematical prediction model is developed. This approach was selected because the temporal length of the data set was too short to be sure of a model form. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.