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  2. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...

  3. Electricity price forecasting - Wikipedia

    en.wikipedia.org/wiki/Electricity_price_forecasting

    [3] [88] [89] Apart from historical electricity prices, the current spot price is dependent on a large set of fundamental drivers, including system loads, weather variables, fuel costs, the reserve margin (i.e., available generation minus/over predicted demand) and information about scheduled maintenance and forced outages.

  4. Woodland Mills, Alabama - Wikipedia

    en.wikipedia.org/wiki/Woodland_Mills,_Alabama

    A school was formerly opened in Woodland Mills. [4] A post office operated under the name Cotaco from 1883 to 1904 and under the name Woodland Mills from 1874 to 1909 ...

  5. Probabilistic forecasting - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_forecasting

    Probabilistic forecasting summarizes what is known about, or opinions about, future events. In contrast to single-valued forecasts (such as forecasting that the maximum temperature at a given site on a given day will be 23 degrees Celsius, or that the result in a given football match will be a no-score draw), probabilistic forecasts assign a probability to each of a number of different ...

  6. Forecast skill - Wikipedia

    en.wikipedia.org/wiki/Forecast_skill

    In this case, a perfect forecast results in a forecast skill metric of zero, and skill score value of 1.0. A forecast with equal skill to the reference forecast would have a skill score of 0.0, and a forecast which is less skillful than the reference forecast would have unbounded negative skill score values. [4] [5]

  7. Ensemble forecasting - Wikipedia

    en.wikipedia.org/wiki/Ensemble_forecasting

    When many different forecast models are used to try to generate a forecast, the approach is termed multi-model ensemble forecasting. This method of forecasting can improve forecasts when compared to a single model-based approach. [ 18 ]

  8. Residual sum of squares - Wikipedia

    en.wikipedia.org/wiki/Residual_sum_of_squares

    The general regression model with n observations and k explanators, the first of which is a constant unit vector whose coefficient is the regression intercept, is = + where y is an n × 1 vector of dependent variable observations, each column of the n × k matrix X is a vector of observations on one of the k explanators, is a k × 1 vector of true coefficients, and e is an n× 1 vector of the ...

  9. History of the lumber industry in the United States - Wikipedia

    en.wikipedia.org/wiki/History_of_the_lumber...

    Gross Income, Net Profits, Production, and price index in the Lumber Industry 1920 -1934 [57] Year Gross Income (In Millions Dollar) Net Profit (In Millions Dollar) Production (In Board feet) (In Millions) Wholesale Price Index (1926=100) 1920 3,312 N/A 35,000 N/A 1922 2,402 167 35,250 N/A 1924 2,835 132 39,500 99.3 1926 3,069 117 39,750 100.0 1928

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