Basic Analysis and Graphing - SAS

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58 Performing Univariate Analysis Chapter 2 Fit Distributions Related Information • “Statistical Details for Discrete Fit Distributions” on page 81 • “Statistical Details for Fitted Quantiles” on page 84 • “Statistical Details for Fit Distribution Options” on page 84 Fit Distribution Options Each fitted distribution report has a red triangle menu that contains additional options. Table 2.16 Description of Fit Distribution Options Diagnostic Plot Density Curve Goodness of Fit Fix Parameters Quantiles Set Spec Limits for K Sigma Spec Limits Save Fitted Quantiles Creates a quantile or a probability plot. See “Diagnostic Plot” on page 59. Uses the estimated parameters of the distribution to overlay a density curve on the histogram. Computes the goodness of fit test for the fitted distribution. See “Goodness of Fit” on page 60. Enables you to fix parameters and re-estimate the non-fixed parameters. An Adequacy LR (likelihood ratio) Test report also appears, which tests your new parameters to determine whether they fit the data. Returns the un scaled and un centered quantiles for the specific lower probability values that you specify. Use this option when you do not know the specification limits for a process and you want to use its distribution as a guideline for setting specification limits. Usually specification limits are derived using engineering considerations. If there are no engineering considerations, and if the data represents a trusted benchmark (well behaved process), then quantiles from a fitted distribution are often used to help set specification limits. See “Statistical Details for Fit Distribution Options” on page 84. Computes generalizations of the standard capability indices, based on the specification limits and target you specify. See “Spec Limits” on page 61. Saves the fitted quantile values as a new column in the current data table. See “Statistical Details for Fitted Quantiles” on page 84.
Chapter 2 Performing Univariate Analysis 59 Fit Distributions Table 2.16 Description of Fit Distribution Options (Continued) Save Density Formula Save Spec Limits Save Transformed Remove Fit Creates a new column in the current data table that contains fitted values that have been computed by the density formula. The density formula uses the estimated parameter values. Saves the specification limits as a column property. See “Statistical Details for Fit Distribution Options” on page 84. Creates a new column and saves a formula. The formula can transform the column to normality using the fitted distribution. This option is available only when one of the Johnson distributions or the Glog distribution is fit. Removes the distribution fit from the report window. Diagnostic Plot The Diagnostic Plot option creates a quantile or a probability plot. Depending on the fitted distribution, the plot is one of four formats. Table 2.17 Descriptions of Plot Formats Plot Format Applicable Distributions The fitted quantiles versus the data • Weibull with threshold • Gamma • Beta • Poisson • GammaPoisson • Binomial • BetaBinomial The fitted probability versus the data • Normal • Normal Mixtures • Exponential The fitted probability versus the data on log scale • Weibull • LogNormal • Extreme Value
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186 Performing Contingency Analysis
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218 Performing Simple Logistic Regr
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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374 Creating Contour Plots Chapter
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384 Creating Bubble Plots Chapter 1
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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486 Creating Scatterplot Matrices C
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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516 Index examples 459, 463-464 lau
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Basic Analysis and Graphing - SAS

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