The azimuthal and radial distributions of HI and H2 in NGC 6946

A study was completed of the atomic and molecular components of the ISM in NGC 6946. The distribution of molecular clouds was determined from a fully sampled CO map of the inner disk using the 14-meter telescope of the FCRAO. The distribution of atomic gas was derived from VLA observations at 40" resolution in the D configuration. When comparing the global CO and HI properties with other components of the galaxy, it was found that the azimuthally averaged radial distributions of CO, H-alpha, radio continuum and blue light all exhibit similar roughly exponential falloffs, while the azimuthally averaged HI surface densities vary by only a factor of 2 out to R = 16 kpc. This indicates that while the H-alpha/CO ratio is approximately constant with radius, the CO/HI ratio decreases by a factor of 30 from the center of the galaxy to R = 10 kpc

A SPATIAL VIEW OF THE NEGATIVE BINOMIAL PARAMETER k WHEN DESCRIBING INSECT POPULATIONS

Measures of aggregation as applied to insect populations are reviewed. When these measures indicate strong aggregation, an aggregated spatial pattern is often assumed. The literature noting that the measure of aggregation does not necessarily indicate spatial aggregation, or the lack of it, is reviewed. Field data from four insect species are presented. In each case, the measures of aggregation indicated strong aggregation, but the spatial pattern was not significantly different from random

THE 2-SPRT AS AN ALTERNATIVE TO WALD\u27S SPRT WHEN TESTING HYPOTHESES CONCERNING INSECT POPULATIONS

Exact and Wald\u27s approximations for the operating characteristic and average sample number functions are compared for a sequential probability ratio (SPRT) test commonly used in cotton integrated pest management (IPM) programs in southwestern Oklahoma. The 95th percentile of the sample size is also given. For the same set of hypotheses and stated error probabilities, the exact operating characteristic and average sample number functions and the 95th percentile of sample size are compared for the SPRT and 2-SPRT

EXPLORING FACTORS AFFECTING ATRAZINE CONCENTRATION IN THE BIG BLUE RIVER BASIN

Atrazine is a herbicide commonly used on corn and sorghum. Consumption of atrazine adversely affects humans. Environmental factors are related to atrazine concentration in the surface waters of the Big Blue River Basin using regression techniques. The usefulness of environmental factors as predictors of surface water atrazine contamination appears to depend on the time period

THE ANALYSIS OF COUNT DATA IN A ONE-WAY LAYOUT

An efficient score statistic for testing the equality of the means of several groups of count data in the presence of a common dispersion parameter is introduced and a new approximation to its distribution is given. The performance of the efficient score statistic using this approximation, the original efficient score statistic approximated by X 2 (t -1), the likelihood ratio statistic and four more ANOVA methods based on raw data or transformed data are compared in terms of size and power by using Monte Carlo simulations. The efficient score statistic with its new approximation is recommended. An application is given

ESTABLISHING POPULATION AND INDIVIDUAL BIOEQUIVALENCE CONFIDENCE INTERVALS

Average bioequivalence is used to assess pharmacokinetic properties of proposed generic drug before they are marketed. The limitations of average bioequivalence have led the U.S. Food and Drug Administration to propose the use of popUlation bioequivalence and individual bioequivalence. In this study, bootstrap confidence intervals were used to evaluate population bioequivalence and individual bioequivalence in the context of a 2 x 4 crossover experimental design. Two bioequivalence criteria were compared: the mean-squared difference criterion and a probability-based criterion. Simulations were conducted to study the properties of the bootstrap confidence intervals under each criterion in establishing population bioequivalence or individual bioequivalence. Various inter-subject, within-subject, and subject-by-formulation interaction variance components were considered

THE ANALYSIS OF OVER-DISPERSED COUNT DATA FROM A SINGLE FACTOR STUDY

Methods for analyzing over-dispersed count data in a one-way layout were compared using a Monte Carlo study. Several variance stabilizing transformations were examined as alternatives to analyzing the raw data using a general linear model. Additionally, generalized linear models were fit using a log link. For the generalized linear model, three approaches to account for over-dispersion were investigated: (1) a negative binomial distribution with known k, (2) a Poisson distribution with Pearson\u27s X2 as an estimate of the scale parameter, and (3) a Poisson distribution with over-dispersion estimated using the deviance. The analysis of the raw data and log transformed data controlled the size of the tests better than the generalized linear models in the region of the sample space studied

A STUDY OF THE STATISTICAL PROPERTIES OF TWO MEASURES OF COMPETITION

In competition studies, two species are studied, generally in ratios of 1:0, 3:1, 1:1, 1:3,and 0: 1. The standard measure of competition is the Relative Crowding Coefficient (RCC)..