estimating probability
101Randomized controlled trial — Flowchart of four phases (enrollment, intervention allocation, follow up, and data analysis) of a parallel randomized trial of two groups, modified from the CONSORT (Consolidated Standards of Reporting Trials) 2010 Statement[1] …
102Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements …
103Self-Indication Assumption Doomsday argument rebuttal — The Self Indication Assumption Doomsday argument rebuttal is an objection to the Doomsday argument (that there is only a 5% chance of more than twenty times the historic number of humans ever being born) by arguing that the chance of being born… …
104Parameter — For other uses, see Parameter (disambiguation). Parameter from Ancient Greek παρά also “para” meaning “beside, subsidiary” and μέτρον also “metron” meaning “measure”, can be interpreted in mathematics, logic, linguistics, environmental science[1] …
105Buffon's needle — In mathematics, Buffon s needle problem is a question first posed in the 18th century by Georges Louis Leclerc, Comte de Buffon::Suppose we have a floor made of parallel strips of wood, each the same width, and we drop a needle onto the floor.… …
106Effects of global warming — This article is about (primarily) effects during the 21st century. For longer term effects, see Long term effects of global warming. The variou …
107Charles Sanders Peirce —  B …
108Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …
109Variance — In probability theory and statistics, the variance of a random variable, probability distribution, or sample is one measure of statistical dispersion, averaging the squared distance of its possible values from the expected value (mean). Whereas… …
110Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… …
