interventional techniques aim to find safer and better ways to treat vascular diseases even in many instances, the interventional radiology solutions has been considered the only treatment option for the patients. interventional radiologists are specialists who perform minimally invasive procedures instead of surgery or other treatments. these procedures apply various imaging and catheterizatio...

Fitting response surface models is usually carried out using statistical packages to solve complicated equations in order to produce the estimates of the model coefficients. This paper proposes a new procedure for fitting response surface models to mixed two-level and four-level factorial designs. New and easier formulae are suggested to calculate the linear, quadratic and the interaction coeff...

BACKGROUND Between-reagent lot verification is a routine laboratory exercise in which a set of samples is tested in parallel with an existing reagent lot and a candidate reagent lot (before the candidate lot is committed to test patient samples). The exercise aims to verify and maintain consistency in the analytical performance of a test. We examined the limitations of a routine between-reagent...

Calculations of the power of statistical tests are important in planning research studies (including meta-analyses) and in interpreting situations in which a result has not proven to be statistically significant. The authors describe procedures to compute statistical power of fixed- and random-effects tests of the mean effect size, tests for heterogeneity (or variation) of effect size parameter...

This paper describes tools developed at Educational Testing Service which use statistical modeling of textual corpora to provide automated assessments of student responses. Details are given for three of these systems: Critique Writing Analysis Tools for providing feedback to students, e-rater for assigning a holistic score to student essays, and c-rater, which scores responses to content-based...

The aim of this paper is to propose a procedure for model selection in Adaptive Neuro-Fuzzy Inference System (ANFIS) for time series forecasting. In this paper, we focus on the model selection based on statistical inference of R incremental. The selecting model is conducted by evaluating the inputs, number of membership functions and rules in architecture of ANFIS until the contribution of R2 i...

Monoterpene patterns of different larch species (Larix deci-dua, Larix kaempferi, Larix sibirica, Larix gmelinii). In: Results and future trends in larch breeding on the basis of provenance research. Abstract Procedures to analyze half-diallel mating designs using the SAS statistical package are presented. The procedure requires two runs of PROC VARCOMP and results in estimates of additive and ...

We study how statistical tools which are commonly used independently can advantageously be exploited together in order to improve neural network estimation and selection in nonlinear static modeling. The tools we consider are the analysis of the numerical conditioning of the neural network candidates, statistical hypothesis tests, and cross validation. We present and analyze each of these tools...

This paper expounds an algorithm for morphological analysis of English language. The algorithm consists of two closely related components: morphological rule learning and morphological analyzing. The morphological rules are obtained through statistical learning from wordlist, with particular morphological features of English language taken into consideration. The procedure of morphological anal...

A statistical methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use existing classification results to estimate dataset size requirements for future classification experiments and to evaluate the gain in accuracy and significance of classifiers built with additional data. The method is based on fitting invers...