estimation time
1Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at …
2estimation — 1. Fowler described the use of estimation in the phrase in my estimation (= in my opinion) as ‘illiterate’, a verdict which is negated by several centuries of use in this meaning: • The dearest of men in my estimation E. W. Lane, 1841 • It was… …
3Time-Inhomogeneous Hidden Bernoulli Model — (TI HBM) is an alternative to Hidden Markov Model (HMM) for Automatic Speech Recognition. Contrary to HMM, the state transition process in TI HBM is not a Markov dependent process, rather it is a generalized Bernoulli (an independent) process.… …
4time perception — Introduction experience or awareness of the passage of time. The human experience of change is complex. One primary element clearly is that of a succession of events, but distinguishable events are separated by more or less lengthy… …
5Estimation in software engineering — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development… …
6time distortion — Also known as illusory alteration of time, psychopathology of time judgment, paradoxic time sense, temporal anomaly, and dyschronation. All six terms are generic terms for a group of symptoms characterized by an altered experience of… …
7Time — This article is about the measurement. For the magazine, see Time (magazine). For other uses, see Time (disambiguation). The flow of sand in an hourglass can be used to keep track of elapsed time. It also concretely represents the present as… …
8Trend estimation — is a statistical technique to aid interpretation of data. When a series of measurements of a process are treated as a time series, trend estimation can be used to make and justify statements about tendencies in the data. By using trend estimation …
9Multivariate 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… …
10Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… …
