efficient estimation
1estimation effective — efektyvusis įvertis statusas T sritis automatika atitikmenys: angl. efficient estimate; efficient estimator vok. effiziente Schätzung, f rus. эффективная оценка, f pranc. estimation effective, f …
2efficient estimate — efektyvusis įvertis statusas T sritis automatika atitikmenys: angl. efficient estimate; efficient estimator vok. effiziente Schätzung, f rus. эффективная оценка, f pranc. estimation effective, f …
3efficient estimator — efektyvusis įvertis statusas T sritis automatika atitikmenys: angl. efficient estimate; efficient estimator vok. effiziente Schätzung, f rus. эффективная оценка, f pranc. estimation effective, f …
4Software development effort estimation — is the process of predicting the most realistic use of effort required to develop or maintain software based on incomplete, uncertain and/or noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment …
5point estimation — Statistics. the process of determining a single estimated value (point estimate) of a parameter of a given population. Cf. interval estimation. [1960 65] * * * ▪ statistics in statistics, the process of finding an approximate value of some… …
6Maximum 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… …
7Location estimation in sensor networks — Location estimation in wireless sensor networks is the problem of estimating the location of an object from a set of noisy measurements, when the measurements are acquired in a distributedmanner by a set of sensors.MotivationIn many civilian and… …
8Rasch model estimation — Various techniques are employed in order to estimate parameters of the Rasch model from matrices of response data. The most common approaches are methods of maximum likelihood estimation, such as joint and conditional maximum likelihood… …
9Fixed effects estimation — In econometrics and statistics the fixed effects estimator (also known as the within estimator) is an estimator for the coefficients in panel data analysis. If we assume fixed effects, we impose time independent effects for each entity.… …
10Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …
