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figure 192 shows track patterns of wolf packs mapped in a census of a study region in the gulkana river area of alaska
the shrimp survey data examples 1 and 2 give a covariance function cx 51 exp-049x where x is distance in nautical
for the survey in exercise 1 estimate the population total using overall intersection probabilitiesexercise 1 in a
in a survey to estimate the abundance of a rare animal species in a study region divided into n 1000 units an initial
for exercise 1 use the estimator based on overall intersection probabilitiesexercise 1an adaptive cluster sample
in a survey of a rare clumped species the study area is divided into two strata withnbspn1 60 units in the first
refer to questionnaire color problem 168 explain how you would make the random assignments of supermarket parking lots
refer to the buena school district bus dataanbspfind the median maintenance cost and the median age of the buses
wa using the weapons and aggression data compute a 2x2 anova with the following two factors prime type was the first
at using the anger expression index from the angry moods study as the dependent variable perform a 2x2 anova with
at the dataset adhd treatment has four scores per subjecta is the design between-subjects or within-subjectsb create an
give the source and df columns of the anova summary table for the following experimentsa twenty two subjects are each
what source of variation is found in an anova summary table for a with in subjects design that is not in in an anova
an experiment is conducted on the effect of age 5 yr 10 yr and 15 yr and treatment conditionnbsp experimental versus
consider the gap method described at the end of section 732 suppose that in the course of the preflow-push algorithm
consider the primal-dual method of chapter 6 show that if the terms balanced active and inactive are replaced by
o n12a lognc hybrid auction algorithm this exercise due to ahuja and orlin 1987 shows how the auction algorithm can be
degenerate price rises in this exercise we consider a variation of the -relaxation method that involves degenerate
deriving auction from -relaxation consider the assignment problem formulated as a minimum cost flow problem we say that
suboptimality of a feasible flow satisfying -cs let xlowast be an optimal flow vector for the minimum cost flow problem
dealing with infeasibility consider the relaxation algorithm applied to a minimum cost flow problem with initial prices
termination tolerance for transportation problems consider a transportation problem with m sources and n sinks and
improved optimality condition consider the minimum cost flow problem without assuming that the problem data are integer
a refinement of the optimality conditions a consider the asymmetric assignment problem with integer data and suppose
a variation of the asymmetric assignment problem consider a problem which is the same as the asymmetric assignment