process+of+inference
81Logic — For other uses, see Logic (disambiguation). Philosophy …
82Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… …
83First-hitting-time model — In statistics, first hitting time models are a sub class of survival models. The first hitting time, also called first passage time, of a set A with respect to an instance of a stochastic process is the time until the stochastic process first… …
84Intelligence Animale — Note : Par souci de concision, cet article ne traite pas de l intelligence des êtres humains, bien qu ils soient eux aussi des animaux intelligents. Pour un article spécifique sur l intelligence humaine, voir intelligence. Une comparaison du …
85biblical literature — Introduction four bodies of written works: the Old Testament writings according to the Hebrew canon; intertestamental works, including the Old Testament Apocrypha; the New Testament writings; and the New Testament Apocrypha. The Old… …
86Semiotic elements and classes of signs — C. S. Peirce articles  General:    Charles Sanders Peirce Charles Sanders Peirce bibliography Philosophical:    Categories (Peirce) Semiotic elements and   classes of signs (Peirce) Pragmatic maxim • Pragmaticism… …
87Information theory — Not to be confused with Information science. Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Information theory was developed by Claude E. Shannon to find fundamental… …
88Natural deduction — In logic and proof theory, natural deduction is a kind of proof calculus in which logical reasoning is expressed by inference rules closely related to the natural way of reasoning. This contrasts with the axiomatic systems which instead use… …
89Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example …
90Intelligence animale — Note : Par souci de concision, cet article ne traite pas de l intelligence des êtres humains, bien qu ils soient eux aussi des animaux intelligents. Pour un article spécifique sur l intelligence humaine, voir intelligence. Une comparaison du …
