linear prediction analysis

  • 11Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… …

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  • 12Stock market prediction — is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange. The successful prediction of a stock s future price could yield significant profit. Some believe that stock price… …

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  • 13Numerical analysis — Babylonian clay tablet BC 7289 (c. 1800–1600 BC) with annotations. The approximation of the square root of 2 is four sexagesimal figures, which is about six decimal figures. 1 + 24/60 + 51/602 + 10/603 = 1.41421296...[1] Numerical analysis is the …

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  • 14Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …

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  • 15Surface weather analysis — A surface weather analysis is a special type of weather map that provides a view of weather elements over a geographical area at a specified time based on information from ground based weather stations. [ Air Apparent: How Meteorologists Learned… …

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  • 16Outline of regression analysis — In statistics, regression analysis includes any technique for learning about the relationship between one or more dependent variables Y and one or more independent variables X. The following outline is an overview and guide to the variety of… …

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  • 17Performance analysis — In software engineering, performance analysis, more commonly today known as profiling, is the investigation of a program s behavior using information gathered as the program executes (i.e. it is a form of dynamic program analysis, as opposed to… …

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  • 18Cumulative frequency analysis — is the applcation of estimation theory to exceedance probability (or equivalently to its complement). The complement, the non exceedance probability concerns the frequency of occurrence of values of a phenomenon staying below a reference value.… …

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  • 19Protein structure prediction — is one of the most important goals pursued by bioinformatics and theoretical chemistry. Its aim is the prediction of the three dimensional structure of proteins from their amino acid sequences, sometimes including additional relevant information… …

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  • 20Least-squares estimation of linear regression coefficients — In parametric statistics, the least squares estimator is often used to estimate the coefficients of a linear regression. The least squares estimator optimizes a certain criterion (namely it minimizes the sum of the square of the residuals). In… …

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