Forecasting is a technique for estimating future data by looking at past and current data. Admissions of new students Tribuana Kalabahi University are carried out every year since the founding campus, in 2007, number student admissions from to has experienced an upward trend, therefore forecasting using Single Exponential Smoothing. The amount 2007 2022 16 calculation results with Smnothing hav...

The biased transformation is introduced for continuous random variables. It is proved in the paper that the biased transformation works for the generalized Pareto, the generalized extreme value and the normal distribution. The biased transformation works for continuous distributions of the exponential family as an approximation; this is demonstrated with the aid of simulations. The new transfor...

Reaction time (RT) is one of the most common types of measure used in experimental psychology. Its distribution is not normal (Gaussian) but resembles a convolution of normal and exponential distributions (Ex-Gaussian). One of the major assumptions in parametric tests (such as ANOVAs) is that variables are normally distributed. Hence, it is acknowledged by many that the normality assumption is ...

The Box-Cox power exponential (BCPE) distribution, developed in this paper, provides a model for a dependent variable Y exhibiting both skewness and kurtosis (leptokurtosis or platykurtosis). The distribution is defined by a power transformation Y(nu) having a shifted and scaled (truncated) standard power exponential distribution with parameter tau. The distribution has four parameters and is d...

Although discrete mixture modeling has formed the backbone of the literature on Bayesian density estimation incorporating covariates, the use of discrete mixtures leads to some well known disadvantages. Avoiding discrete mixtures, we propose a flexible class of priors based on random nonlinear functions of a uniform latent variable with an additive residual. These priors are related to Gaussian...

We present here some thoughts and ongoing work regarding transformations of multiple inheritance hierarchies into single inheritance hierarchies. We follow an approach that tries to categorize multiple inheritance situations according to a semantic point of view. Different situations should be captured through diagrammatic UML annotations that would allow to detect a given situation and hence a...

UNLABELLED Neisseria gonorrhoeae is naturally competent for transformation. The first step of the transformation process is the uptake of DNA from the environment into the cell. This transport step is driven by a powerful molecular machine. Here, we addressed the question whether this machine imports single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA) at similar rates. The fluorescence ...

When population variances of observations in an ANOVA are a known function of their population means, many textbooks recommend using variancestabilizing transformations. Examples are: square root transformation for Poisson data, arcsine of square root for binomial proportions, and log for exponential data. We investigate the usefulness of transformations in onefactor, 3-level ANOVAs with nonnor...

It was conjectured by Černý in 1964, that a synchronizing DFA on n states always has a shortest synchronizing word of length at most (n− 1), and he gave a sequence of DFAs for which this bound is reached. Until now a full analysis of all DFAs reaching this bound was only given for n ≤ 4, and with bounds on the number of symbols for n ≤ 10. Here we give the full analysis for n ≤ 6, without bound...

ABSTRACT—Software Engineering plays a vital role in software development process. Software effort Estimation usually takes place in early stage of software life cycle. Estimation relies upon previous experience. Software development based on accurate estimates because badly chosen estimate causes problems during the performance of software development process. A linear Regression model with exp...