In order to effectively obtain the winter wheat growing area in a large part of Guanzhong plain, this paper proposes random forest plain extraction algorithm based on spatial features neighborhood samples using 250 m resolution spectral imager (MERSI) FY-3 satellite as data source. paper, first, training and validation were obtained by constructing sample space sampling model, then study was cl...

BACKGROUND A national multimedia campaign was launched in January 2010, to increase the proportion of young people tested for chlamydia. This study aimed to evaluate the impact of the campaign on the coverage and positivity within the National Chlamydia Screening Programme (NSCP) in England. METHOD An interrupted time series of anonymised NCSP testing reports for England for a 27 month period...

This article completes our studies on the formal construction of asymptotic approximations for statistics based a random number observations. Second order Chebyshev–Edgeworth expansions asymptotically normally or chi-squared distributed from samples with negative binomial Pareto-like sample sizes are obtained. The results can have applications wide spectrum chi-square statistics. Random, non-ra...

Abstract The worldwide distribution of the HBV infection has usually been estimated by prevalence hepatitis B surface antigen (HBsAg) among general population. Total antibodies for core (anti-HBc) are most important diagnostic marker proving prior exposure to HBV. Aim aim this study was determine Hepatitis virus (HBV) Bulgarian Reliable epidemiologic data is needed estimate in order actual burd...

ABSTRACT Non-random sampling as a tool in data collection has widely become prominent issue art-related phenomena and is more complicated than ever due to the heterogeneity of study population. However, foremost justification this paper was identification several gaps literatures selection samples that usually lead misunderstanding. This because mostly are not related arts. The misunderstanding...

In our article and this additional file, we use the following conventions. A random sample of m measurements of a general random variable V can be represented by a vector v = (v1, . . . , vm) with m components. Categorical random variables are denoted by DX, DY , DZ and numeric random variables are denoted by X, Y , Z. Correspondingly, random samples from categorical vectors are denoted by dx, ...