Reliability of confidence intervals calculated by bootstrap and classical methods using the FIA 1-Ha plot design / H.T. Schreuder, M.S. Williams.

Format:

Book

Government document

Author/Creator:

Schreuder, Hans T.

Contributor:

Williams, M. S.

Rocky Mountain Research Station (Fort Collins, Colo.)

Series:

General technical report RMRS ; 57.

General technical report RMRS ; 57

Language:

English

Subjects (All):

Forest surveys--United States--Simulation methods.

Forest surveys.

Forest mapping--United States--Simulation methods.

Forest mapping.

Forests and forestry--United States--Simulation methods.

Forests and forestry.

Forests and forestry--Simulation methods.

United States.

Genre:

Online resources.

Physical Description:

1 online resource (6 pages) : illustrations

Place of Publication:

[Fort Collins, Colo.] : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [2000]

Summary:

"In simulation sampling from forest populations using sample sizes of 20, 40, and 60 plots respectively, confidence intervals based on the bootstrap (accelerated, percentile, and t-distribution based) were calculated and compared with those based on the classical t confidence intervals for mapped populations and subdomains within those populations. A 68.1 ha mapped population, constructed out of 0.081 ha (1/5 acre) Forest Inventory and Analysis of the USDA Forest Service (FIA) plot measurements at 2 points of time in Maine, United States and a 64 ha mapped population from Surinam, South America with only one measurement, were used. The plot designs used were the FIA plot consisting of a 1-ha circular plot subsampled by four 0.0169 ha (1/24 acre) subplots, a 0.081 ha plot that was used in the north east by FIA, and a 10-point cluster of VRP plots that was used in the north central by FIA.‍?‍?The confidence intervals of all estimates, even those from a sample of size 60, failed to meet the nominal 95% standard. Of the 4 methods used to derive the intervals, the classical method was consistently best in terms of achieved confidence level. This was followed by the three bootstrap methods: t-distribution based, accelerated, and percentile.‍?‍?We recommend use of the classical t confidence intervals even for small sample sizes and less common attributes. If the classical standard error cannot be computed easily, the t-distribution based bootstrap should be used since it gives only slightly less reliable confidence levels. Also, the bootstrap standard error can often be computed in situations where the classical standard error cannot be."

Notes:

Includes bibliographical references (page 6).

Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.

Print version record.

Other Format:

Print version: Schreuder, Hans T. Reliability of confidence intervals calculated by bootstrap and classical methods using the FIA 1-Ha plot design.

OCLC:

681060755

Access Restriction:

Use copy Restrictions unspecified