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1-21 of 21 results for discipline "Mathematical and Quant."

This workbook has been generated to be used alongside the following Economics course created by Saylor.org.

It provides a series of JavaScript for simple to more complex cases of compound interest analysis.

An online course in Decision Science, Management Science, and Operations Research

A JavaScript that computes confidence interval for standard deviation, confidence interval for variance, and confidence... see more

It is a JavaScript that performs matrix multiplication with up to 4 rows and up to 4 columns. Moreover, it computes the... see more

It is a JavaScript that performs matrix multiplication with up to 10 rows and up to 10 columns. Moreover, it computes the... see more

Inventory control is concerned with minimizing the total cost of keeping goods in stock. This JavaScript compute the... see more

It is a JavaScript that constructs a graph of a given time series as a tool for the initial characterization process.

This JavaScript solves up to ten by ten systems of linear equations. It also allows the user to find the inverse of a... see more

It is a JavaScript that computes the best time to replace equipment, and provides the average cost during its usage.

It is a JavaScript that provides the optimal ordering quantity for seasonal items.

It is a JavaScript that provides the necessary tools for the ABC inventory classification method.

A collection of classified JavaScript learning objects to enhance learning statistical concepts.

In decision-making under pure uncertainty, the decision-maker has no knowledge regarding any of the states of nature... see more

A JavaScript-based process that determines the decision maker's utility function.

This JavaScript tests time series for stationary in both mean and variance.

It is a JavaScript for computing some general statistics of a given time series.

It is a JavaScript for forecasting based on moving average and exponential smoothing methods.

It is a JavaScript that tests a claimed mean for a population based on a set of random observations.

It is JavaScript that computes Bayes' posterior discrete probabilities given a subjective prior probability vector and... see more

It is a JavaScript that tests normality of population based on random sample data.