Analysis of LIGO data for gravitational waves from binary neutron stars

We report on a search for gravitational waves from coalescing compact binary systems in the Milky Way and the Magellanic Clouds. The analysis uses data taken by two of the three LIGO interferometers during the first LIGO science run and illustrates a method of setting upper limits on inspiral event rates using interferometer data. The analysis pipeline is described with particular attention to data selection and coincidence between the two interferometers. We establish an observational upper limit of $\mathcal{R}<$1.7 \times 10^{2}$per year per Milky Way Equivalent Galaxy (MWEG), with 90coalescence rate of binary systems in which each component has a mass in the range 1--3$M_\odot$.Comment: 17 pages, 9 figure

Concise formulas for the standard errors of component loading estimates

asymptotic standard errors, principal component analysis, component loadings, rotation, information matrix, least squares,

Core area and centre of activity of maned wolves, Chrysocyon brachyurus (Illiger) (Mammalia, Canidae), submitted to supplemental feeding

Based on the finding of remains (tracks, scats, and hairs), an analysis was made of the core area and centre of activity of maned wolves, Chrysocyon brachyurus (Illiger, 1815), living in a private natural reserve in which ecotourism activities are developed and these animals are daily fed bovine meat. A total of 465 samples of remains were recorded. Using the fixed kernel method, the area encompassing all samples recorded was estimated at 25.7 km², yet 50% of all samples were found in an area of only 1.5 km², representing 5.8% of the total area covered. For estimating the core area of the animals, the frequency of occurrence of the samples was determined by superimposing a 50 x 50 m cell grid over a map of the area encompassing all recorded occurrences. Based on the cells containing more than six occurrences, the animals' core area was 0.99 km², which included the place where the animals are fed. The centre of activity was located only 0.50 km from this place. The high negative correlation (r = -0.93, p < 0.05) between the densities of the recorded occurrences and the distances from these to the sanctuary indicates that the core area and centre of activity are conditioned by artificial feeding.<br>A área central e o centro de atividade de lobos-guará, Chrysocyon brachyurus (Illiger, 1815), foram determinados através de seus vestígios (fezes, pegadas e pêlos) em uma reserva natural particular, onde esses animais estão sujeitos à alimentação artificial e sofrem influência de atividades turísticas. No total, foram registrados 465 vestígios, sendo que 65,8% corresponderam à estação seca. Através do método Kernel fixo, a área compreendida por todos os vestígios foi de 25,7 km², sendo que 50% encontravam-se em uma área de apenas 1,5 km², o que representou 5,8% do total da área amostrada. A área central de atividade dos animais foi obtida pelo cálculo da freqüência dos registros dos vestígios através da sobreposição de uma quadrícula subdividida em células de 50 x 50 m sobre a área que abrangia todos os registros. Considerando as células com mais de seis registros a área central de atividade atribuída aos animais foi de 0,99 km², o que abrangeu a sede da reserva onde os animais são alimentados. O centro de atividade localizou-se somente a 0,50 km da sede. A alta correlação negativa (r = -0,93, p < 0,05) obtida entre as densidades dos registros e suas distâncias até a sede da reserva indicaram que o centro de atividade e o tamanho da área de maior intensidade de uso são condicionados pela alimentação artificial

Design And Analysis Of Incomplete Multitrait-Multimethod Studies From A Multiplicative Perspective

Multitrait-multimethod matrices, direct product model, planned missingness,

Asymptotic biases in exploratory factor analysis and structural equation modeling

Asymptotic biases, structural equation modeling, asymptotic variances, nonnormal data, asymptotic robustness, factor analysis,

A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers

simple structure, standard errors, test statistics, equivariance, invariance, nonnormal data, outliers, missing data,