Modeling and Multivariate Methods - SAS

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248 Performing Nonlinear Regression Chapter 9 Nonlinear Fitting with Fit Curve Table 9.1 Fit Curve Model Formulas (Continued) Model Logistic 2P Formula --------------------------------------------- 1 1 + Exp( – a( x– b) ) a = Growth Rate b = Inflection Point Logistic 3P c --------------------------------------------- 1 + Exp( – a( x– b) ) a = Growth Rate b = Inflection Point c = Asymptote Logistic 4P Logistic 5P Gompertz 3P c + d– c 1 --------------------------------------------- + Exp( – a( x – b) ) a = Growth Rate b = Inflection Point c = Lower Asymptote d = Upper Asymptote d – c c + ---------------------------------------------------- ( 1 + Exp( – a( x– b) )) f a = Growth Rate b = Inflection Point c = Asymptote 1 d = Asymptote 2 f = Power aExp( – Exp( – b( x– c) )) a = Asymptote b = Growth Rate c = Inflection Point
Chapter 9 Performing Nonlinear Regression 249 Nonlinear Fitting with Fit Curve Table 9.1 Fit Curve Model Formulas (Continued) Model Gompertz 4P Exponential 2P Exponential 3P Biexponential 4P Biexponential 5P Mechanistic Growth Formula a+ ( b– a)Exp( – Exp( – c( x – d) )) a = Lower Asymptote b = Upper Asymptote c = Growth Rate d = Inflection Point aExp( bx) a = Scale b = Growth Rate a+ bExp( cx) a = Asymptote b = Scale c = Growth Rate aExp( – bx) + cExp( – dx) a = Scale 1 b = Decay Rate 1 c = Scale 2 d = Decay Rate 2 a+ bExp( – cx) + dExp( – fx) a = Asymptote b = Scale 1 c = Decay Rate 1 d = Scale 2 f = Decay Rate 2 a( 1 – bExp( – cx) ) a = Asymptote b = Scale c = Growth Rate
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Version 10 Modeling and Multivariat
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INDIRECT OR CONSEQUENTIAL DAMAGES O
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6 Emphasis Options for Standard Lea
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8 Models with Crossed, Interaction,
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10 8 Analyzing Screening Designs Us
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12 Examining the Residuals . . . .
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14 Response Frequencies . . . . . .
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16 19 Analyzing Principal Component
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18 Interpreting the Profiles . . .
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20 Discriminant Analysis . . . . .
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Contents Book Conventions. . . . .
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Book C
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28 Learn about JMP Chapter 1 Additi
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30 Learn about JMP Chapter 1 Additi
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Contents Launch the Fit Model Platf
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34 Introduction to the Fit Model Pl
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Contents Example Using Standard Lea
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56 Fitting Standard Least Squares M
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100 Fitting Standard Least Squares
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Contents Overview of Stepwise Regre
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136 Fitting Stepwise Regression Mod
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Contents Example of a Multiple Resp
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158 Fitting Multiple Response Model
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Contents Overview of Generalized Li
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180 Fitting Generalized Linear Mode
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Page 198 and 199: Contents Introduction to Logistic M
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298 Modeling Relationships With Gau
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Contents Overview of the Loglinear
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306 Fitting Dispersion Effects with
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Contents Introduction to Partitioni
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318 Recursively Partitioning Data C
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Contents Launch the Platform . . .
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354 Performing Time Series Analysis
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Contents The Categorical Platform .
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386 Performing Categorical Response
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Contents Introduction to Choice Mod
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404 Performing Choice Modeling Chap
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Contents Launch the Multivariate Pl
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444 Correlations and Multivariate T
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Contents Introduction to Clustering
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462 Clustering Data Chapter 18 The
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464 Clustering Data Chapter 18 Hier
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470 Clustering Data Chapter 18 K-Me
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472 Clustering Data Chapter 18 K-Me
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474 Clustering Data Chapter 18 Norm
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476 Clustering Data Chapter 18 Norm
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478 Clustering Data Chapter 18 Self
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480 Clustering Data Chapter 18 Self
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Contents Principal Components. . .
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484 Analyzing Principal Components
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Contents Introduction . . . . . . .
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494 Performing Discriminant Analysi
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Contents Overview of the Partial Le
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508 Fitting Partial Least Squares M
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Contents Introduction to Item Respo
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526 Scoring Tests Using Item Respon
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Contents Surface Plots . . . . . .
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538 Plotting Surfaces Chapter 23 La
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544 Plotting Surfaces Chapter 23 Th
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546 Plotting Surfaces Chapter 23 Th
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548 Plotting Surfaces Chapter 23 Pl
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550 Plotting Surfaces Chapter 23 Pl
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552 Plotting Surfaces Chapter 23 Ke
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Contents Introduction to Profiling
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556 Visualizing, Optimizing, and Si
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Contents Example of Model Compariso
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630 Comparing Model Performance Cha
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640 References Becker, R.A. and Cle
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642 References Draper, N. and Smith
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644 References Hooper, J. H. and Am
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646 References Matsumoto, M. and Ni
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648 References Rawlings, J.O. (1988
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650 References Umetrics (1995), Mul
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Contents The Response Models . . .
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654 Statistical Details Appendix A
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690 Index Birth Death Subset.jmp 46
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692 Index Ellipses Transparency 451
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694 Index test for curvature 46 Kru
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696 Index Customizing 267 Nonlinear
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698 Index reliability analysis 453-
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700 Index Stable 363 Stable Inverti
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702 Index
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Modeling and Multivariate Methods - SAS

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