least squares trend
71Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …
72Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …
73Experiment — Experimental redirects here. For the musical classification, see Experimental music. For other uses, see Experiment (disambiguation). Even very young children perform rudimentary experiments in order to learn about the world. An experiment is a… …
74Blind experiment — A blind or blinded experiment is a scientific experiment where some of the people involved are prevented from knowing certain information that might lead to conscious or subconscious bias on their part, invalidating the results. For example, when …
75Homoscedasticity — Plot with random data showing homoscedasticity. In statistics, a sequence or a vector of random variables is homoscedastic (   …
76Bayesian experimental design — provides a general probability theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for… …
77Jack C. Hayya — is professor emeritus of management science at the Pennsylvania State University.Education*B.S., Civil Enginering, University of Illinois at Champaign Urbana, 1952 *M.S., Management, California State University, Northridge, 1961 [Hayya, Jack C.… …
78Restricted 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… …
79Completely randomized design — In the design of experiments, completely randomized designs are for studying the effects of one primary factor without the need to take other nuisance variables into account. This article describes completely randomized designs that have one… …
80Ausgleichungsrechnung — Die Ausgleichungsrechnung (auch Ausgleichsrechnung, Ausgleichung, Parameterschätzung, Anpassung oder Fit(ting) genannt) ist eine mathematische Optimierungsmethode, um für eine Reihe von Messdaten die unbekannten Parameter ihres geometrisch… …
