A new procedure is proposed for estimating the effective population size, given that information is available on changes in frequencies of the alleles at one or more independently segregating loci and the population is observed at two or more separate times. Approximate expressions are obtained for the variances of the new statistic, as well as others, also based on allele frequency changes, th...

Consider a linear regression model with unknown regression parameters 0 and independent errors of unknown distribution. Block the observations into q groups whose independent variables have a common value and measure the homogeneity of the blocks of residuals by a Cramér-von Mises q-sample statistic Tq( ). This statistic is designed so that its expected value as a function of the chosen regress...

The study examines long-term changes and short-term fluctuations in ambient temperature of North East India during 1901-2003 located in part of the Eastern Himalayan region of the Brahmaputra Basin. Long-term linear trends were examined with the Mann-Kendal rank statistic and moving average method while the short-term fluctuations were studied by applying Cramer’s test. The results showed signi...

The main purpose of this study is to compare the performance of a group of second-order designs such as Box-Behnken, face-center cube, three-level factorial, central composite, minimum bias, and minimum variance plus bias for estimating a quadratic metamodel. A time-shared computer system is used to demonstrate the ability of the designs in providing good fit of the metamodel to the simulation ...

We use the bipartite graph representation of longitudinally linked employer-employee data, and the associated projections onto the employer and employee nodes, respectively, to characterize the set of potential statistical summaries that the trusted custodian might produce. We consider noise infusion as the primary confidentiality protection method. We show that a relatively straightforward ext...

This paper describes remote sensing methodologies for monitoring rare vegetation with special emphasis on the Image Statistic Analysis for set of training samples and classification. At first 5 types of Rare Vegetation communities were defined and the Initial classification scheme was designed on that base. After preliminary Statistic Analysis for training samples, a modification algorithm of t...

Submitted: Apr 23, 2013; Accepted: Jun 2, 2013; Published: Jun 20, 2013 Abstract: The study of outliers is an essential part in the field of time series as the presence of one or more outliers can seriously damage the estimation in model. Outliers in time discrete Systems, have been studied [1] and a test statistic for the detection of extreme observations has been developed [2]. If through the...

Number of latents The same number of factors will be extracted for PLS responses as for PLS factors. The researcher must specify how many latents to extract (in SPSS the default is 5). There is no one criterion for deciding how many latents to employ. Common alternatives are: 1. Cross-validating the model with increasing numbers of factors, then choosing the number with minimum prediction error...

An interactive menu driven system of programmes written in Fortran and designed to utilize the three main nucleotide sequence libraries and one amino acid sequence library was developed to run on a small 16-bit mini computer with limited main memory and mass storage. The software uses a minimum of system function calls and should be transportable with minimal rewriting to micro computers. Softw...

The paper considers the problem of testing for multiple outliers in a regression model and provides fast approximations to the null distribution of the minimum deletion residual used as a test statistic. Since direct simulation of each combination of number of observations and number of parameters is too time consuming, methods using simple normal samples are described for approximating the poi...