Welcome to the Kids' Library!

Asymptotically efficient estimation of a bivariate Gaussian-Weibull distribution and an introduction

Verrill, S. P., author
Madison, WI. : United States Department of Agriculture, Forest Service, Forest Products Laboratory, 2012. 2012

Concerns about a variance approach to the X-ray diffractometric estimation of microfibril angle in w

[Madison, Wis.] : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, [2010] 2010

Confidence bounds and hypothesis tests for normal distribution coefficients of variation

Verrill, S. P.
Madison, WI : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, [2007] 2007

The decline and fall of type II error rates

Verrill, S. P.
Madison, WI : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, [2005] 2005

Estimated probability of breakage of lumber of a fixed "grade" can vary greatly from mill to mill an

Verrill, S. P., author.
Madison, WI : United States Department of Agriculture, Forest Service, Forest Products Laboratory, 2020. 2020

Improved models for predicting the modulus of rupture of lumber under third point loading

[Madison, Wis.] : United States Department of Agriculture, Forest Service, Forest Products Laboratory, 2021. 2021

JMFA 2--a graphically interactive Java program that fits microfibril angle x-ray diffraction data

Verrill, S. P.
Madison, WI : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, [2006] 2006

Maximum likelihood estimation of the parameters of a bivariate Gaussian-Weibull distribution from ma

Verrill, S. P., author.
[Madison, Wis.] : U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2016. 2016

Power calculations in the predictor sort computer program

Verrill, S. P.
Madison, Wis. : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, [2000] 2000

Simulations of nonparametric analyses of predictor sort (matched specimens) data

Verrill, S. P., author.
Madison, WI : U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2019. 2019