Logistic regression is a simple statistical tool used in binary classification. LR is useful for situations in which we want to predict the presence or absence of a characteristic or outcome based on values of a set of predictor variables. Unlike LR, PCA is another technique used in feature extraction and in dimensionality reduction. This paper puts forth the experimental results of LR model an...

Several talent development programs in youth soccer have implemented motor diagnostics measuring performance factors. However, the predictive value of such tests for adult success is a controversial topic in talent research. This prospective cohort study evaluated the long-term predictive value of 1) motor tests and 2) players' speed abilities (SA) and technical skills (TS) in early adolescence...

We have shown that statistical methods widely used in ecology and wildlife management to estimate parameters and forecast population sizes fail when the underlying ecological system is chaotic [1]. Although we noted that alternative methods exist [1], their general applicability has not been demonstrated. Hartig & Dormann [3] show that the Pisarenko & Sornette (2004) method can apply to the log...

Consider a Bayesian optimal design with many support points which poses the problem of collecting data with a few number of observations at each design point. Under such a scenario the asymptotic property of using Fisher information matrix for approximating the covariance matrix of posterior ML estimators might be doubtful. We suggest to use Bhattcharyya matrix in deriving the information matri...

AIMS Plasma levels of some biomarkers and markers of collagen turnover may reflect myocardial structural abnormalities associated with diastolic dysfunction. The aim of this study was to determine whether these markers could contribute to the diagnostics of heart failure with normal ejection fraction (HFNEF). METHODS AND RESULTS 91 patients with exertional dyspnea and normal left ventricular ...