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   y vs. x
Dataset
Name:
Roszman1

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
25 Observations
Average Level of Difficulty
Observed Data
Data file (ASCII Format)
Additional Information

Model: Miscellaneous Class
4 Parameters (beta(1) to beta(4) to beta(2) to beta(4))
Starting Values

y = f(x;beta) + e = beta(1) - beta(2)x - (arctan[(beta(8) / (x - beta(4))]) pi) + e

Results: Certified Values
Graphics

Reference: Roszman, L., NIST (1979).
Quantum Defects for Sulfur I Atom.