Nonlinear Least-Squares Using Microcomputer Data Analysis Programs: KaleidaGraph™ in the Physical Chemistry Teaching Laboratory

Journal of Chemical Education ◽

10.1021/ed077p1233 ◽

2000 ◽

Vol 77 (9) ◽

pp. 1233 ◽

Author(s):

Joel Tellinghuisen

Keyword(s):

Physical Chemistry ◽

Data Analysis ◽

Least Squares ◽

Nonlinear Least Squares ◽

Chemistry Teaching ◽

Teaching Laboratory

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VIBRATION-ROTATION ANALYSIS OF THE 13CO2 ASYMMETRIC STRETCH FUNDAMENTAL BAND IN AMBIENT AIR FOR THE PHYSICAL CHEMISTRY TEACHING LABORATORY

Proceedings of the 70th International Symposium on Molecular Spectroscopy ◽

10.15278/isms.2015.rc09 ◽

2015 ◽

Author(s):

David Dolson ◽

CATHERINE ANDERS

Keyword(s):

Physical Chemistry ◽

Ambient Air ◽

Chemistry Teaching ◽

Fundamental Band ◽

Teaching Laboratory ◽

Vibration Rotation ◽

Asymmetric Stretch

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EXPANDED CHOICES FOR VIBRATION-ROTATION SPECTROSCOPY IN THE PHYSICAL CHEMISTRY TEACHING LABORATORY

Proceedings of the 70th International Symposium on Molecular Spectroscopy ◽

10.15278/isms.2015.tc06 ◽

2015 ◽

Author(s):

Joel Schmitz ◽

David Dolson

Keyword(s):

Physical Chemistry ◽

Chemistry Teaching ◽

Teaching Laboratory ◽

Vibration Rotation

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The reliability of nonlinear least-squares algorithm for data analysis of neural response activity during sinusoidal rotational stimulation in semicircular canal neurons

PLoS ONE ◽

10.1371/journal.pone.0190596 ◽

2018 ◽

Vol 13 (1) ◽

pp. e0190596 ◽

Author(s):

Pengyu Ren ◽

Bowen Li ◽

Shiyao Dong ◽

Lin Chen ◽

Yuelin Zhang

Keyword(s):

Data Analysis ◽

Least Squares ◽

Semicircular Canal ◽

Nonlinear Least Squares ◽

Neural Response ◽

Least Squares Algorithm ◽

Rotational Stimulation

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Project-Based Experiment in a Physical Chemistry Teaching Laboratory: Ion Effects on Caffeine Partitioning Thermodynamics

Journal of Chemical Education ◽

10.1021/acs.jchemed.0c00961 ◽

2020 ◽

Vol 97 (11) ◽

pp. 4173-4178

Author(s):

Bradley A. Rogers ◽

Yanjie Zhang

Keyword(s):

Physical Chemistry ◽

Chemistry Teaching ◽

Teaching Laboratory ◽

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Achieving Very Low Levels of Detection: An Improved Surface-Enhanced Raman Scattering Experiment for the Physical Chemistry Teaching Laboratory

Journal of Chemical Education ◽

10.1021/acs.jchemed.6b00312 ◽

2016 ◽

Vol 93 (10) ◽

pp. 1804-1808 ◽

Author(s):

Brian G. McMillan

Keyword(s):

Physical Chemistry ◽

Raman Scattering ◽

Surface Enhanced Raman Scattering ◽

Chemistry Teaching ◽

Teaching Laboratory ◽

Scattering Experiment ◽

Surface Enhanced ◽

Surface Enhanced Raman ◽

Enhanced Raman Scattering ◽

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Working toward a Paperless Undergraduate Physical Chemistry Teaching Laboratory

Journal of Chemical Education ◽

10.1021/acs.jchemed.5b00585 ◽

2016 ◽

Vol 93 (4) ◽

pp. 781-784 ◽

Author(s):

Jason D. Weibel

Keyword(s):

Physical Chemistry ◽

Chemistry Teaching ◽

Teaching Laboratory

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EPR SPECTROSCOPY OF RUBY IN THE UNDERGRADUATE PHYSICAL CHEMISTRY TEACHING LABORATORY

10.15278/isms.2021.fa11 ◽

2021 ◽

Author(s):

Bryan Lynch

Keyword(s):

Physical Chemistry ◽

Epr Spectroscopy ◽

Chemistry Teaching ◽

Teaching Laboratory

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Application of Marquardt's Nonlinear Least Squares Algorithm to Free- Flight Yaw Data Analysis

10.21236/ada016906 ◽

1975 ◽

Author(s):

James W. Bradley

Keyword(s):

Data Analysis ◽

Least Squares ◽

Nonlinear Least Squares ◽

Free Flight ◽

Least Squares Algorithm

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Error estimation using the sequential simplex method in nonlinear least squares data analysis

Analytical Chemistry ◽

10.1021/ac00159a002 ◽

1988 ◽

Vol 60 (8) ◽

pp. 738-741 ◽

Author(s):

Gregory R. Phillips ◽

Edward M. Eyring

Keyword(s):

Data Analysis ◽

Least Squares ◽

Error Estimation ◽

Simplex Method ◽

Nonlinear Least Squares

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General framework for asymptotic properties of generalized weighted nonlinear least squares estimators with deterministic and stochastic weighting

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082178 ◽

1997 ◽

Author(s):

Gerd Vandersteen ◽

Hugo Van hamme ◽

Rik Pintelon

Keyword(s):

Least Squares ◽

General Framework ◽

Asymptotic Properties ◽

Nonlinear Least Squares ◽

Least Squares Estimators

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