Abstract Building on previous work in the field of language modeling information retrieval (IR), this paper proposes a novel approach to document ranking based on statistical model selection. The proposed approach offers two main contributions. First, we posit the notion of a document’s “null model,” a language model that conditions our assessment of the document model’s significance with respe...

This study develops statistical and machine learning models based on discriminant analysis, logistic regression a support vector (SVM) to predict the occurrence of radiation fog in Japan. The selection suitable set explanatory variables for was made using Akaike information criterion (AIC). accuracies three were measured compared. To determine optimum combination variables, temperature, humidit...

ABSTRAK
 Poisson regression merupakan salah satu model regresi yang dapat digunakan untuk menganalisis hubungan antara variabel respon berupa data count dengan prediktor count, kontinu, kategorik atau campuran syarat terjadi equidispersion yaitu nilai variansi dari harus sama rata-ratanya. Namun sering adalah pelanggaran terhadap equidispersion. Generalized Regression (GPR) suatu lebih dan...

We consider nonparametric maximum likelihood estimation of density using linear histogram models. More precisely, we investigate optimality of model selection procedures via penalization, when the number of models is polynomial in the number of data. It turns out that the Slope Heuristics …rst formulated by Birgé and Massart [10] is satis…ed under rather mild conditions on the density to be est...

We aim at developing statistical tools that improve the accuracy and precision of the measurements returned by triangulation Light Detection and Rangings (Lidars). To this aim we: i) propose and validate a novel model that describes the statistics of the measurements of these Lidars, and that is built starting from mechanical considerations on the geometry and properties of their pinhole lens C...

There are various methods for determining the moment at which a student has learned a given skill. Using the Akaike information criterion (AIC), we introduce an approach for determining the probability that an individual student has learned a given skill at a particular problem-solving step. We then investigate how well this approach works when applied to student log data. Using log data from s...

In recent years the method of wavelet analysis has been opened to researchers. It is analyses data at different level decomposition and can capture characteristics series in all level. this research work, was collected on Nigerian stock index for All Share Capital market indexes (1989-2010). The were analyzed by detect aberrant observations (AOs) over period under study two indexes. Akaike info...

As multilevel models (MLMs) are useful in understanding relationships existent in hierarchical data structures, these models have started to be used more frequently in research developed in social and health sciences. In order to draw meaningful conclusions from MLMs, researchers need to make sure that the model fits the data. Model fit, and thus, ultimately model selection can be assessed by e...

ABSTRACT The body weight (BW) of an animal is a vital economic trait that might help in decision-making the handling animals. objective present study was to develop equations for prediction BW Pelibuey sheep using scrotal circumference (SC). (23.40 ± 6.96 kg) and SC (20.25 6.19 cm) have been recorded 405 male at Southeastern Center Ovine Integration, Mexico. Linear, logarithmic, quadratic, expo...