Sentence examples for in spreadsheet modeling from inspiring English sources

While immersing myself in spreadsheet modeling, decision science, net present value, marginal analysis and a myriad of other financial theories and concepts, I came upon the wonderful world of probability and statistics.

Production scheduling, sales planning, and cash budgeting are integrated in spreadsheet models through linking procedures, allowing for the development of an effective business plan (Chien and Cunningham 2000).

The data to be used in the spreadsheet model was maintained in Microsoft Excel and model outputs computed following the insertion of the formulae.

Then, these distributions are included as inputs in the Rock Mass Rating RMRR) classification system prepared in a spreadsheet model.

The impact of each strategy on health-related outcomes was analyzed in a spreadsheet model by using the formulas summarized in Figure A1.

If the government puts all the numbers out, analysts will be able to quickly plug in their spreadsheet models and find the winners and losers.

In the spreadsheet models they used to estimate the value of mortgage-backed securities, analysts could only plug in a positive number in the "growth" cell.

The MESP was varied in the spreadsheet model until the net present value (NPV) equalled to zero at the selected IRR (10%).

Next, predictions of traffic volume were based on a model derived from an analysis of the National Household Travel Survey, part of the 2000 US Census, developed by Polzin and Chu at CUTR [ 14] in a spreadsheet model they made available.

See Table 2. * Clinician calculations in table relate primarily to incremental requirements for HIV care **This category combines both ART decision-making clinicians and ART follow up care providers, which are separated in the spreadsheet model We start year one with no one yet enrolled for HIV care.

13, 17 Equations 1 and 2 remained valid at each stage of the accumulation of risk factors in the spreadsheet model (Table 3) and were independent of risk factor weighting and the proportion of the population affected by each risk factor.