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  1. Arnold Bennett (1867–1931) was an English author who wrote 34 novels, 7 volumes of short stories and a daily journal of more than a million words. He also wrote or co-wrote 13 plays, wrote articles and stories for more than 100 newspapers and periodicals, worked in and briefly ran the UK's Ministry of Information in the First World War, and ...

  2. Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania. The institution was established in 1900 by Andrew Carnegie as the Carnegie Technical Schools. In 1912, it became the Carnegie Institute of Technology and began granting four-year degrees. In 1967, it became Carnegie Mellon University through its ...

  3. Columbia University. /  40.80750°N 73.96194°W  / 40.80750; -73.96194. Columbia University, officially Columbia University in the City of New York, [6] is a private, Ivy League, research university in New York City. Established in 1754 as King's College on the grounds of Trinity Church in Manhattan, it is the oldest institution of higher ...

    • Definitions
    • Interpretation
    • Extensions
    • Comparison with Norm of Residuals
    • History
    • See Also
    • Further Reading

    A data set has n values marked y1, ..., yn (collectively known as yi or as a vector y = [y1, ..., yn]T), each associated with a fitted (or modeled, or predicted) value f1, ..., fn (known as fi, or sometimes ŷi, as a vector f). Define the residuals as ei = yi − fi (forming a vector e). If y ¯ {\displaystyle {\bar {y}}} is the mean of the observed da...

    R2 is a measure of the goodness of fit of a model. In regression, the R2 coefficient of determination is a statistical measure of how well the regression predictions approximate the real data points. An R2of 1 indicates that the regression predictions perfectly fit the data. Values of R2 outside the range 0 to 1 occur when the model fits the data w...

    Adjusted R2

    The use of an adjusted R2 (one common notation is R ¯ 2 {\displaystyle {\bar {R}}^{2}} , pronounced "R bar squared"; another is R a 2 {\displaystyle R_{\text{a}}^{2}} or R adj 2 {\displaystyle R_{\text{adj}}^{2}} ) is an attempt to account for the phenomenon of the R2 automatically increasing when extra explanatory variables are added to the model. There are many different ways of adjusting. By far the most used one, to the point that it is typically just referred to as adjusted R, is the cor...

    Coefficient of partial determination

    The coefficient of partial determination can be defined as the proportion of variation that cannot be explained in a reduced model, but can be explained by the predictors specified in a full(er) model.This coefficient is used to provide insight into whether or not one or more additional predictors may be useful in a more fully specified regression model. The calculation for the partial R2 is relatively straightforward after estimating two models and generating the ANOVA tables for them. The c...

    Generalizing and decomposing R2

    As explained above, model selection heuristics such as the adjusted R2 criterion and the F-test examine whether the total R2 sufficiently increases to determine if a new regressor should be added to the model. If a regressor is added to the model that is highly correlated with other regressors which have already been included, then the total R2will hardly increase, even if the new regressor is of relevance. As a result, the above-mentioned heuristics will ignore relevant regressors when cross...

    Occasionally, the norm of residuals is used for indicating goodness of fit. This term is calculated as the square-root of the sum of squares of residuals: 1. norm of residuals = S S res = ‖ e ‖ . {\displaystyle {\text{norm of residuals}}={\sqrt {SS_{\text{res}}}}=\|e\|.} Both R2 and the norm of residuals have their relative merits. For least square...

    The creation of the coefficient of determination has been attributed to the geneticist Sewall Wrightand was first published in 1921.

    Nash–Sutcliffe model efficiency coefficient (hydrological applications)
    Gujarati, Damodar N.; Porter, Dawn C. (2009). Basic Econometrics (Fifth ed.). New York: McGraw-Hill/Irwin. pp. 73–78. ISBN 978-0-07-337577-9.
    Hughes, Ann; Grawoig, Dennis (1971). Statistics: A Foundation for Analysis. Reading: Addison-Wesley. pp. 344–348. ISBN 0-201-03021-7.
    Kmenta, Jan (1986). Elements of Econometrics (Second ed.). New York: Macmillan. pp. 240–243. ISBN 978-0-02-365070-3.
    Lewis-Beck, Michael S.; Skalaban, Andrew (1990). "The R-Squared: Some Straight Talk". Political Analysis. 2: 153–171. doi:10.1093/pan/2.1.153. JSTOR 23317769.
  4. Myers–Briggs Type Indicator. A chart with descriptions of each Myers–Briggs personality type and the four dichotomies central to the theory. The Myers–Briggs Type Indicator ( MBTI) is a pseudoscientific [5] self-report questionnaire that claims to indicate differing "psychological types" (often commonly called "personality types").

  5. C ( pronounced / ˈsiː / – like the letter c) [6] is a general-purpose programming language. It was created in the 1970s by Dennis Ritchie and remains very widely used and influential. By design, C's features cleanly reflect the capabilities of the targeted CPUs. It has found lasting use in operating systems code (especially in kernels [7 ...

  6. Scoring leaders. The following is a list of National Basketball Association players by total career regular season points scored. Statistics accurate as of the 2023–24 NBA season. Progressive list of scoring leaders. This is a progressive list of scoring leaders showing how the record increased through the years. [1]

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