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MULTIVARIATE ANALYSIS 
The Fisheries Research Board of Canada issues a series of 
technical reports at irregular intervals, which they indicate are 
"research documents of sufficient importance to be preserved, but 
which for some reason are not appropriate for scientific publica¬ 
tion. " Since they anticipate some of the material will eventually 
appear in scientific papers, they suggest care be taken to indi¬ 
cate the roanuscript status if cited elsewhere. They have just 
issued Technical Report no. 244, which is entitled "Multivariate 
Analysis for the Fisheries Biology," written by P. J. Lee (1971, 
vi + 182 pp.). The chapter headings are: Matrix Algebra; Concepts 
of Mathematical Statistics; Multiple Regression and Correlation; 
Principal Components; Canonical Correlation and Canonical Trend 
Surfaces; Discriminant Functions; and Factor Analysis. This is 
followed by listings of programs in FORTRAN IV, including the 
following: 
CANONICAL CORRELATION PROGRAM 
CANONICAL TREND SURFACE PROGRAM 
PRINCIPAL COMPONENT ANALYSIS PROGRAM 
DISCRIMINATORY ANALYSIS PROGRAM 
SUBROUTINES (needed for running above) 
According to the title page, inquiries about the report should be 
sent to the following; Fisheries Research Board of Canada, Fresh- 
water Institute, Winnipeg, Manitoba. Presumably it is available 
for distribution from them.--JAP. 
STATISTICAL ECOLOGY 
An advanced institute on statistical ecology is scheduled at 
Penn State University June 19 to July 29, 1972. It is sponsored 
by the International Association of Ecology and the International 
Statistical Institute. It wi11 include work on modeling and simu¬ 
lation of biological populations, chance mechanisms and statistical 
distribution in ecology, measurement and detection of spatial 
patterns, sampling biological populations, multivariate methods in 
ecology, and quantitative population dynamics and systems analysis 
in ecology. Included will be individual study, work on independent 
problems, participant seminars, small group discussions and work¬ 
shops. The course is aimed at graduate faculty, post-doctorals, 
advanced graduate students, and research scientists involved in 
statistical ecology. Requirements include: 1 year of calculus, 
1 yr of probability and statistics, one year of biology and ecology, 
1 course in linear algebra, and 1 course in computer programming. 
Participants are supported by NSF. Applications go to G. P. 
Patil, Director, Advanced Institute on Statistical Ecology, 330 
McAllister Bldg, University Park PA 16802. 
