99,99 €
Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)
Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)
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Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)
Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)
El. knyga:
99,99 €
Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques.A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers.For students who only have a minimal background in…

Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988) (el. knyga) (skaityta knyga) | knygos.lt

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Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques.

A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers.

For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.

99,99 €
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Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques.

A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers.

For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.

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