When applied to wire ice-covering forecasting, the back propagation (BP) neural network is a lack of guidance for selecting the neural network initial connection weight and network structure, which contributes to the problem of a high degree of randomness and poses a difficulty for selecting an initial node with global properties. Combination traditional forecasting methods of Mean Generating F...

Southwest monsoon rainfall (received during June–September) determines the fate of millions of dryland farmers as well as the status of national food security in India almost every year. The need for information about southwest monsoon rainfall is great in these areas. An accurate long-range forecast can help farmers increase agricultural productivity in good rainfall years and negate the sudde...

Weather derivatives enable energy companies to protect themselves against weather risk. Weather ensemble predictions are generated from atmospheric models and consist of multiple future scenarios for a weather variable. They can be used to forecast the density of the payoff from a weather derivative. The mean of the density is the fair price of the derivative, and the distribution about the mea...

Previous literature studying analysts’ earnings forecasts examines their properties without considering firms’ response to analysts’ forecasts. This study improves upon previous research by considering firms’ earnings management with respect to analysts’ forecasts. I hypothesize that analysts understand firms’ earnings management practices, and incorporate firms’ expected behavior into their fo...

We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energy facilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 at horizontal resolutions of 10 and 3 km. A new adaptive statistical method was applied to the model output to improve the forecast skill. The method applied correct...

Air material demand forecast is an important content of air material management, How to scientifically determine the general aircraft material demand has always been a key research subject of general aviation enterprise. Consider the general aircraft material demand forecast problem, forecast method is proposed by using Modified Particle Swarm Optimization (MPSO) algorithm to optimize the BP ne...

An important problem facing managers is how to enhance the credibility, or believability, of their earnings forecasts. In this paper, we experimentally test whether a characteristic of a management earnings forecast—namely, whether it is disaggregated—can affect its credibility. We also test whether disaggregation moderates the relation between managerial incentives and forecast credibility. Di...

Data quality affects decision quality. In any forecasting and estimation model, the quality of the forecast data or the estimated data needs to be evaluated before using for decision-making. In two-level supply chain model, the retailer collects the sales information and use it to forecast the future demands over the lead-time, and the manufacturer collects the information about retailer's orde...

Findings point out that the savings rating operations and performances of private business Banks have outperformed these state-owned industrial banks. The mortgage disbursement techniques banks been now no longer efficient ample to reap required recuperation target. Furthermore, it has additionally found are increased in all likelihood be affected via using each every contributory factors a lon...