Author: Daniel A. Yaussy
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 16
Book Description
Multivariate Regression Model for Predicting Lumber Grade Volumes of Northern Red Oak Sawlogs
Author: Daniel A. Yaussy
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 16
Book Description
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 16
Book Description
Multivariate Regression Model for Predicting Lumber Grade Volumes of Northern Red Oak Sawlogs (Classic Reprint)
Author: Daniel a Yaussy
Publisher: Forgotten Books
ISBN: 9780260488343
Category : Business & Economics
Languages : en
Pages : 530
Book Description
Excerpt from Multivariate Regression Model for Predicting Lumber Grade Volumes of Northern Red Oak Sawlogs A weighted regression model pro posed by Bruce (1970) was expanded to include dummy variables and multi ple yields. It had the 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.
Publisher: Forgotten Books
ISBN: 9780260488343
Category : Business & Economics
Languages : en
Pages : 530
Book Description
Excerpt from Multivariate Regression Model for Predicting Lumber Grade Volumes of Northern Red Oak Sawlogs A weighted regression model pro posed by Bruce (1970) was expanded to include dummy variables and multi ple yields. It had the 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.
Multivariate Regression Model for Predicting Lumber Grade Volumes of Northern Red Oak Sawlogs
Author: Daniel A. Yaussy
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 0
Book Description
Research Note NE.
General Technical Report RM.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 318
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 318
Book Description
Monthly Catalog of United States Government Publications
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 956
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 956
Book Description
Monthly Catalogue, United States Public Documents
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1252
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1252
Book Description
Forest Products Journal
Proceedings of the Sixth Biennial Southern Silvicultural Research Conference
Author: Sandra S. Coleman
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 520
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 520
Book Description
A Multivariate Model and Statistical Method for Validating Tree Grade Lumber Yield Equations
Author: Donald W. Seegrist
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 24
Book Description
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 24
Book Description