make+inferences
71Kolponomos — Taxobox name = Kolponomos fossil range = Early Miocene regnum = Animalia phylum = Chordata classis = Mammalia ordo = Carnivora subordo = Caniformia superfamilia = Ursoidea familia = Ursidae familia authority = G. Fischer de Waldheim, 1817 genus …
72Reification (statistics) — In statistics, reification is the use of an idealized model of a statistical process. The model is then used to make inferences connecting model results, which imperfectly represent the actual process, with experimental observations.Also,… …
73guess — guessable, adj. guesser, n. guessingly, adv. /ges/, v.t. 1. to arrive at or commit oneself to an opinion about (something) without having sufficient evidence to support the opinion fully: to guess a person s weight. 2. to estimate or conjecture… …
74Pearson, Karl — ▪ British mathematician born March 27, 1857, London, Eng. died April 27, 1936, Coldharbour, Surrey British statistician, leading founder of the modern field of statistics, prominent proponent of eugenics, and influential interpreter of the… …
75cerebrate — verb To think or cogitate; especially so as to make inferences or decisions or to solve problems …
76Commonsense knowledge base — In artificial intelligence research, commonsense knowledge is the collection of facts and information that an ordinary person is expected to know. The commonsense knowledge problem is the ongoing project in the field of knowledge representation… …
77Jess (programming language) — Jess Developer(s) Sandia National Laboratories Platform Java License Closed source / Public Domain Website …
78Mathematical exposure modeling — is an indirect method of determining exposure, particularly for human exposure to environmental contaminants. It is useful when direct measurement of pollutant concentration is not feasible because direct measurement sometimes requires skilled… …
79Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …
80Multivariate 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… …
