Explain carefully what is meant by the expected price of a commodity on a particular future date. What are the two ways of forecasting to determine the financial needs of the firm? What statistical methods or analysis can be used to predict the price of Bitcoin,...
(2019) use 12 feature selection methods for support vector machine (SVM) classifiers, checking their optimality by comparing them to some statistical and baseline methods with Chinese data. Interestingly, Da et al. (2015) construct a new measure of investor sentiment, such as the Financial and ...
tourism demandpanel datatourism forecastingqualitative methodsPortugalThe tourism industry has expanded in recent years due to internal and external environmental forces. These forces, income, trade, consumer price, and geographical distance are interconnected. Accounting for imperfect competition and increasing...
The strategy formulation refers to the methods by which an organization determines the various relevant ways of action to accomplish its established goals. It involves evaluating the external environment and internal dilemma and combining the outcome into purpose and strategy.Answer and Explan...
What are some methods to test this hypothesis? Explain. Marriage markets: Marriage markets refer to public places where people can go to find spouses. Usually, parents provide their children?s information, and a list is availed to anyone that wishes to view and choos...
State true or false and justify your answer: The weak form of the efficient market hypothesis states that an investor can profit by using past price data. Determine whether the following statement about the efficient market hypothesis is true or false: It imp...
consumption. This section explores how intelligent systems analyze historical data and external factors to predict future energy demand. By accurately forecasting energy consumption, AI assists in planning for renewable energy production, ensuring that supply meets the evolving demands of consumers and ...
An integrated gradient [7] analyzes a wide range of output and solves the problem of gradient saturation. Smooth gradient [8] removes noise during visualization. In the meantime, there are various existing methods to interpret neural networks by extracting features in the field of image recognition...
In addition, the presentation of a database of 1128 households provides actual usage behavior parameters for policy-makers to improve the accuracy of building energy forecasting models. Keywords: real building energy use data; energy performance gap; energy-efficient residential buildings; occupants’ ...
it was necessary to use the Python tool Eli-5 to rebuild the network behaviour as described inSection 2.3. The results of this stage are three graphs for both the methods, which show which characteristics most influence the prediction of the Lysine volume, assigning them a score of importance...