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NASAContractorReport3294A Parametric Study of Aliasing Error for a Narrow Field of View Scanning RadiometerNesimHalyoandCONTRACT NASA AUGUST 1980Steven5628T. Stallman;4 .NASA CR 3294 c.1TECH LIBRARYKAFB,NM11111111111 llllb2677NASAContractorReport3294A
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How to fill out a parametric study of

01
Identify the parameters that you want to study. These are the variables that you want to analyze and understand how they affect the outcome.
02
Determine the range or values for each parameter. Define the minimum and maximum values that you want to test for each parameter.
03
Decide on the number of steps or intervals for each parameter. Divide the range of values into a specific number of steps or intervals.
04
Create a table or spreadsheet to organize the parameters and their corresponding values. Each row should represent a unique combination of parameter values.
05
Set up a simulation or experiment to generate data for each combination of parameter values. Run the simulation or experiment for each row in the table.
06
Collect and record the data from the simulation or experiment. Note down the outcomes or results for each combination of parameter values.
07
Analyze the data to understand the relationship between the parameters and the outcomes. Look for patterns or trends in the data.
08
Draw conclusions and make interpretations based on the analysis. Determine how each parameter affects the outcome and any interactions between parameters.
09
Document the parametric study and its findings. Write a report or summary describing the methodology, results, and conclusions of the study.

Who needs a parametric study of?

01
Engineers and scientists who want to optimize a design or process.
02
Researchers who want to explore the effects of different variables on a system.
03
Planners and decision-makers who need to assess the impact of various parameters on a project or policy.
04
Architects and urban planners who want to evaluate different design options.
05
Manufacturers who want to improve the efficiency and performance of their products.
06
Financial analysts who want to assess the sensitivity of financial models to different input variables.
07
Environmental scientists who want to study the effects of different factors on ecosystems.
08
Medical researchers who want to understand how different factors influence health outcomes.
09
Game developers who want to experiment with different game mechanics and parameters.
10
Any individual or organization that wants to make informed decisions based on a systematic exploration of parameter values.
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A parametric study is an analysis method used to assess how the variation in the parameters of a model affects its outcomes.
Typically, researchers, engineers, and professionals involved in project design and regulatory compliance are required to file a parametric study, depending on the specific regulations of their field.
To fill out a parametric study, one must collect relevant parameters, define their ranges, conduct simulations or analyses, and document the findings in a structured format.
The purpose of a parametric study is to identify how changes in input variables affect outcomes, optimize designs, and support decision-making processes.
A parametric study should report the parameters analyzed, the range or values tested, the results of the analysis, and any conclusions drawn from the study.
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