Zobrazeno 1 - 10
of 65
pro vyhledávání: '"J. J. Beauchamp"'
Publikováno v:
Journal of the North American Benthological Society. 24:428-440
We demonstrated the use of statistical tolerance intervals as a method for deriving acceptable thresholds for benthic macroinvertebrate community metrics. Tolerance intervals are simply confidence intervals based on percentiles, and they allow select
Publikováno v:
Ground Water. 34:579-587
In the Data Quality Objectives (DQO) process, statistical methods are used to determine an optimal sampling and analysis plan. When the DQO decision rule for instituting remedial actions is based on a critical change in water quality, the monitoring
Publikováno v:
Environmental and Ecological Statistics. 3:81-97
A frequent assumption in environmental risk assessment is that the underlying distribution of an analyte concentration is lognormal. However, the distribution of a random variable whose log has a t-distribution has infinite mean. Because of the proxi
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 49:597-608
We used multiple logistic regression techniques to develop models for estimating the probability of brook trout (Salvelinus fontinalis) presence/absence as a function of observable water chemistry variables and watershed characteristics. The data set
Publikováno v:
Scopus-Elsevier
A nighttime warming experiment is proposed. Over the last four decades a significant rise in nighttime minimum temperature has been determined from analysis of meteorological records from a global distribution of locations. The experiment involves ni
Publikováno v:
Communications in Statistics - Simulation and Computation. 13:669-682
Autor:
V. E. Kane, J. J. Beauchamp
Publikováno v:
Journal of Statistical Computation and Simulation. 19:35-58
Some of the practical consequences of entertaining the power-shift transformation are examined for both analysis of variance and simple random sampling data. The appropriateness of different procedures for estimating the transformation parameters is
Autor:
J. J. Beauchamp, D. S. Robson
Publikováno v:
Communications in Statistics - Simulation and Computation. 15:147-179
The linear discriminant function (LDF) is known to be optimal in the sense of achieving an optimal error rate when sampling from multivariate normal populations with equal covariance matrices. Use of the LDF in nonnormal situations is known to lead t
Publikováno v:
Bulletin of Environmental Contamination and Toxicology. 23:73-78