A comparison between least squares linear regression and LOESS regression.

Linear regressions between pairwise records of air temperatures and water temperatures at small time scale (moving average over 5 days; panel C) and long time scale (moving average over 6 months; panel D).

Guillaume Bal (679183)
Etienne Rivot (405730)
Jean-Luc Baglinière (679184)
Jonathan White (679185)
Etienne Prévost (448671)

December 2014

Linear regressions between pairwise records of air temperatures and water temperatures at small t...

An Introduction to PROC LOESS for Local Regression

Roberta Cohen

November 2007

This paper describes the LOESS procedure which is a new procedure in SAS/STAT&reg; software for ...

A comparison of some alternatives to least squares multiple regression

Pirie, I.W.

January 1996

Available from British Library Document Supply Centre-DSC:DXN007718 / BLDSC - British Library Docume...

Loess

GIJBELS I
PROSDOCIMI I

January 2010

Linear least squares regression is among the most well known classical methods. This and other param...

Ocean trends: the arithmetic mean derived chlorophyll concentration per year (with the no. of obs.) with superposed lines; weighted (no. of obs.) least-squares regression lines (blue or green line) indicate a bluing trend or greening trend of a sea, the 95% confidence interval of the mean (dotted line) and of the observations (solid line).

Marcel R. Wernand (420869)
Hendrik J. van der Woerd (420870)
Winfried W. C. Gieskes (420871)

June 2013

A sea with no significant trend is indicated by a black line. Regression coefficients are indica...

Ocean trends: The arithmetic mean derived chlorophyll concentration per year (with the no. of obs.) with superposed lines: weighted (no. of obs.) least-squares regression lines (blue or green line) indicate a bluing trend or greening trend of a sea, the 95% confidence interval of the mean (dotted line) and of the observations (solid line).

Marcel R. Wernand (420869)
Hendrik J. van der Woerd (420870)
Winfried W. C. Gieskes (420871)

June 2013

A sea with no significant trend is indicated by a black line. Regression coefficients are indica...

Range of least-squares linear regression slopes for each region.

Anne J. Lagomarcino (312536)
Arnold I. Miller (312539)

February 2013

Black dots represent actual slope values, while the colored lines represent the range in values f...

Alternative least squares methods for determining the meteoric water line, demonstrated using GNIP data

Crawford, J
Hughes, CE
Lykoudis, S

June 2016

The relationship between δ2H and δ18O in precipitation at a site, known as the local meteoric water ...

Sea trends: the arithmetic mean FU values () per year (with the no. of obs.) with superposed lines; weighted (no. of obs.) least-squares regression lines (blue or green line) indicate a bluing trend or greening trend of a sea, the 95% confidence interval of the mean (dotted line) and of the observations (solid line).

Marcel R. Wernand (420869)
Hendrik J. van der Woerd (420870)
Winfried W. C. Gieskes (420871)

June 2013

A sea with no significant trend is indicated by a black line. Regression coefficients are indica...

Genus-Area Results.

Anne J. Lagomarcino (312536)
Arnold I. Miller (312539)

February 2013

Genus-area (GAR) plots of the European Epicontinental Sea, the North American Cretaceous Interior...

Evolution of the mixed layer depth (MLDref) over a 4.5 year period.

Jasmine B. D. Jaffrés (401745)

April 2013

The line of best fit (solid-black for subtropics, dashed-grey for tropics) was created using the ...

Nonlinear sea level trends from European tide gauge records

S. M. Barbosa
M. J. Fernandes
M. E. Silva

April 2004

Mean sea level is a variable of considerable interest in meteorological and oceanographic studies, ...

P-values for tests of significant differences between individual genus-area linear regression slopes.

Anne J. Lagomarcino (312536)
Arnold I. Miller (312539)

February 2013

Comparison of regression lines was performed using ANCOVA, with a Bonferroni corrected alpha valu...

Least Squares Linear Regression Models for Predicting Technological Improvement Rates with R2 shown for each model and the coefficients shown for each metric included in the model and its p value.

Christopher L. Benson (724356)
Christopher L. Magee (724357)

April 2015

Least Squares Linear Regression Models for Predicting Technological Improvement Rates with R...

Minus average (MA) plots for each normalization method, with LOESS lines plotted for each sample.

Andreas B. Gevaert (4884949)
Isabel Witvrouwen (4884955)
Christiaan J. Vrints (209397)
Hein Heidbuchel (754048)
Emeline M. Van Craenenbroeck (332766)
Steven J. Van Laere (242434)
Amaryllis H. Van Craenenbroeck (4884952)

February 2018

Each colored line represents the LOESS line for one sample. NF and QB normalization methods displ...

Linear regressions between pairwise records of air temperatures and water temperatures at small time scale (moving average over 5 days; panel C) and long time scale (moving average over 6 months; panel D).

Guillaume Bal (679183)
Etienne Rivot (405730)
Jean-Luc Baglinière (679184)
Jonathan White (679185)
Etienne Prévost (448671)

December 2014

Linear regressions between pairwise records of air temperatures and water temperatures at small t...

An Introduction to PROC LOESS for Local Regression

Roberta Cohen

November 2007

This paper describes the LOESS procedure which is a new procedure in SAS/STAT&reg; software for ...

A comparison of some alternatives to least squares multiple regression

Pirie, I.W.

January 1996

Available from British Library Document Supply Centre-DSC:DXN007718 / BLDSC - British Library Docume...

Loess

GIJBELS I
PROSDOCIMI I

January 2010

Linear least squares regression is among the most well known classical methods. This and other param...

Ocean trends: the arithmetic mean derived chlorophyll concentration per year (with the no. of obs.) with superposed lines; weighted (no. of obs.) least-squares regression lines (blue or green line) indicate a bluing trend or greening trend of a sea, the 95% confidence interval of the mean (dotted line) and of the observations (solid line).

Marcel R. Wernand (420869)
Hendrik J. van der Woerd (420870)
Winfried W. C. Gieskes (420871)

June 2013

A sea with no significant trend is indicated by a black line. Regression coefficients are indica...

Ocean trends: The arithmetic mean derived chlorophyll concentration per year (with the no. of obs.) with superposed lines: weighted (no. of obs.) least-squares regression lines (blue or green line) indicate a bluing trend or greening trend of a sea, the 95% confidence interval of the mean (dotted line) and of the observations (solid line).

Marcel R. Wernand (420869)
Hendrik J. van der Woerd (420870)
Winfried W. C. Gieskes (420871)

June 2013

A sea with no significant trend is indicated by a black line. Regression coefficients are indica...

Range of least-squares linear regression slopes for each region.

Anne J. Lagomarcino (312536)
Arnold I. Miller (312539)

February 2013

Black dots represent actual slope values, while the colored lines represent the range in values f...

Alternative least squares methods for determining the meteoric water line, demonstrated using GNIP data

Crawford, J
Hughes, CE
Lykoudis, S

June 2016

The relationship between δ2H and δ18O in precipitation at a site, known as the local meteoric water ...

Sea trends: the arithmetic mean FU values () per year (with the no. of obs.) with superposed lines; weighted (no. of obs.) least-squares regression lines (blue or green line) indicate a bluing trend or greening trend of a sea, the 95% confidence interval of the mean (dotted line) and of the observations (solid line).

Marcel R. Wernand (420869)
Hendrik J. van der Woerd (420870)
Winfried W. C. Gieskes (420871)

June 2013

A sea with no significant trend is indicated by a black line. Regression coefficients are indica...

Genus-Area Results.

Anne J. Lagomarcino (312536)
Arnold I. Miller (312539)

February 2013

Genus-area (GAR) plots of the European Epicontinental Sea, the North American Cretaceous Interior...

Evolution of the mixed layer depth (MLDref) over a 4.5 year period.

Jasmine B. D. Jaffrés (401745)

April 2013

The line of best fit (solid-black for subtropics, dashed-grey for tropics) was created using the ...

Nonlinear sea level trends from European tide gauge records

S. M. Barbosa
M. J. Fernandes
M. E. Silva

April 2004

Mean sea level is a variable of considerable interest in meteorological and oceanographic studies, ...

P-values for tests of significant differences between individual genus-area linear regression slopes.

Anne J. Lagomarcino (312536)
Arnold I. Miller (312539)

February 2013

Comparison of regression lines was performed using ANCOVA, with a Bonferroni corrected alpha valu...

Least Squares Linear Regression Models for Predicting Technological Improvement Rates with R2 shown for each model and the coefficients shown for each metric included in the model and its p value.

Christopher L. Benson (724356)
Christopher L. Magee (724357)

April 2015

Least Squares Linear Regression Models for Predicting Technological Improvement Rates with R...

Minus average (MA) plots for each normalization method, with LOESS lines plotted for each sample.

Andreas B. Gevaert (4884949)
Isabel Witvrouwen (4884955)
Christiaan J. Vrints (209397)
Hein Heidbuchel (754048)
Emeline M. Van Craenenbroeck (332766)
Steven J. Van Laere (242434)
Amaryllis H. Van Craenenbroeck (4884952)

February 2018

Each colored line represents the LOESS line for one sample. NF and QB normalization methods displ...

Linear regressions between pairwise records of air temperatures and water temperatures at small time scale (moving average over 5 days; panel C) and long time scale (moving average over 6 months; panel D).

Guillaume Bal (679183)
Etienne Rivot (405730)
Jean-Luc Baglinière (679184)
Jonathan White (679185)
Etienne Prévost (448671)

December 2014

Linear regressions between pairwise records of air temperatures and water temperatures at small t...

An Introduction to PROC LOESS for Local Regression

Roberta Cohen

November 2007

This paper describes the LOESS procedure which is a new procedure in SAS/STAT&reg; software for ...

A comparison of some alternatives to least squares multiple regression

Pirie, I.W.

January 1996

Available from British Library Document Supply Centre-DSC:DXN007718 / BLDSC - British Library Docume...

A comparison between least squares linear regression and LOESS regression.

Abstract

Extracted data

A comparison between least squares linear regression and LOESS regression.

Abstract

Extracted data

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