Process components, observation functions and associated equations in the SIMCAB model. Notations , , , index age, year, survey, and commercial, respectively. The term is the indicator function of event .

Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R package—Sensitivity Analysis.

Shoma Berkemeyer (368714)
Dorothea Lemke (2549986)
Hans Werner Hense (2549989)

March 2016

Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R p...

Model workflow for estimating county-level model parameters and resulting model outputs associated with model parameters.

Aakash Pandey (17735915)
Abigail B. Feuka (17735918)
Melinda Cosgrove (17735921)
Megan Moriarty (17735924)
Anthony Duffiney (17735927)
Kurt C. VerCauteren (8032256)
Henry Campa III (3746383)
Kim M. Pepin (7892564)

January 2024

Model workflow for estimating county-level model parameters and resulting model outputs associated w...

Front cover A Conceptual Model for Event Processing Systems

Catherine Moxey
Mike Edwards
Opher Etzion
Mamdouh Ibrahim
Sreekanth Iyer
Hubert Lalanne
Mweene Monze
Marc Peters
Yuri Rabinovich
Guy Sharon
Kristian Stewart

November 2014

Learn about a conceptual model to represent event processing systems Identify key components of even...

Stochasticity in the input parameters for the SIMCAB projection model. The notation indicates the estimated abundance at age in 2009 from data between 1984 and 2009.

Nicolas Bousquet (405734)
Emmanuel Chassot (405735)
Daniel E. Duplisea (522000)
Mike O. Hammill (292270)

February 2014

Stochasticity in the input parameters for the SIMCAB projection model. The notation indicates th...

Parameters, variables and associated equations used in the SIMCAB estimation model. and index age and year, respectively. NoI: number of individuals; NoE: number of eggs; “Age of half-vulnerability” indicates the age at which 50% of the individuals are vulnerable to survey and commercial gears indexed by and , respectively.

Nicolas Bousquet (405734)
Emmanuel Chassot (405735)
Daniel E. Duplisea (522000)
Mike O. Hammill (292270)

February 2014

Parameters, variables and associated equations used in the SIMCAB estimation model. and index a...

Deterministic and stochastic processes used in SIMCAB estimation and projection models, respectively. iid: independent and identically distributed; : distributed as. : binomial distribution with probability parameter .

Nicolas Bousquet (405734)
Emmanuel Chassot (405735)
Daniel E. Duplisea (522000)
Mike O. Hammill (292270)

February 2014

Deterministic and stochastic processes used in SIMCAB estimation and projection models, respectiv...

Descriptive statistics for variables included in the multi-variable modeling process.

Kari A. Morfeld (549529)
Cheryl L. Meehan (3152697)
Jennifer N. Hogan (2746084)
Janine L. Brown (446924)

July 2016

Descriptive statistics for variables included in the multi-variable modeling process.</p

Deterministic and stochastic processes used in the ageing error and growth models. All variables are defined in table*#146;1.

Emmanuelle Dortel (405728)
Félix Massiot-Granier (405729)
Etienne Rivot (405730)
Julien Million (405731)
Jean-Pierre Hallier (405732)
Eric Morize (405733)
Jean-Marie Munaron (213787)
Nicolas Bousquet (405734)
Emmanuel Chassot (405735)

April 2013

Deterministic and stochastic processes used in the ageing error and growth models. All variables ...

Overview of the model space and the independent variables in the observation functions.

Athina Tzovara (5706422)
Christoph W. Korn (117390)
Dominik R. Bach (747098)

August 2018

The last column highlights the type of model quantity that is reflected in the observation function ...

Description of the functions, activity, and outputs of each script employed in the group model building process.

Yeeli Mui (6697391)
Ellis Ballard (6697394)
Eli Lopatin (6697397)
Rachel L. J. Thornton (6697400)
Keshia M. Pollack Porter (6697403)
Joel Gittelsohn (292778)

May 2019

Description of the functions, activity, and outputs of each script employed in the group model build...

Outcome and explanatory variables, and their sources, included in the multi-level model analysis.

Mair L. H. Thomas-Possee (17904164)
Andrew A. Channon (17904167)
Robert E. S. Bain (9773049)
James A. Wright (3031137)

February 2024

Outcome and explanatory variables, and their sources, included in the multi-level model analysis.</p

Parameters and variables used in the ageing error and somatic growth models.

Emmanuelle Dortel (405728)
Félix Massiot-Granier (405729)
Etienne Rivot (405730)
Julien Million (405731)
Jean-Pierre Hallier (405732)
Eric Morize (405733)
Jean-Marie Munaron (213787)
Nicolas Bousquet (405734)
Emmanuel Chassot (405735)

April 2013

Parameters and variables used in the ageing error and somatic growth models.</p

Model fitting results.

Fabien Pointin (625216)
Mark R. Payne (114740)

September 2014

The function is the representation of space and time in the model: “*” indicates the use of 2D o...

The resulting Statistical information obtained from replaying the event log with the Petri Net of the base model “Standard model” for conformance checking process.

Abdel-Hamed Mohamed Rashed (14670639)
Noha E. El-Attar (14670642)
Diaa Salama Abdelminaam (14670645)
Mohamed Abdelfatah (14670648)

February 2023

The resulting Statistical information obtained from replaying the event log with the Petri Net of th...

Components in the process evaluation and methods used to retrieve information in the present study.

Eva L. Bergsten (4918987)
Svend Erik Mathiassen (655555)
Johan Larsson (1921945)
Lydia Kwak (22698)

March 2018

Components in the process evaluation and methods used to retrieve information in the present stud...

Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R package—Sensitivity Analysis.

Shoma Berkemeyer (368714)
Dorothea Lemke (2549986)
Hans Werner Hense (2549989)

March 2016

Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R p...

Model workflow for estimating county-level model parameters and resulting model outputs associated with model parameters.

Aakash Pandey (17735915)
Abigail B. Feuka (17735918)
Melinda Cosgrove (17735921)
Megan Moriarty (17735924)
Anthony Duffiney (17735927)
Kurt C. VerCauteren (8032256)
Henry Campa III (3746383)
Kim M. Pepin (7892564)

January 2024

Model workflow for estimating county-level model parameters and resulting model outputs associated w...

Front cover A Conceptual Model for Event Processing Systems

Catherine Moxey
Mike Edwards
Opher Etzion
Mamdouh Ibrahim
Sreekanth Iyer
Hubert Lalanne
Mweene Monze
Marc Peters
Yuri Rabinovich
Guy Sharon
Kristian Stewart

November 2014

Learn about a conceptual model to represent event processing systems Identify key components of even...

Stochasticity in the input parameters for the SIMCAB projection model. The notation indicates the estimated abundance at age in 2009 from data between 1984 and 2009.

Nicolas Bousquet (405734)
Emmanuel Chassot (405735)
Daniel E. Duplisea (522000)
Mike O. Hammill (292270)

February 2014

Stochasticity in the input parameters for the SIMCAB projection model. The notation indicates th...

Parameters, variables and associated equations used in the SIMCAB estimation model. and index age and year, respectively. NoI: number of individuals; NoE: number of eggs; “Age of half-vulnerability” indicates the age at which 50% of the individuals are vulnerable to survey and commercial gears indexed by and , respectively.

Nicolas Bousquet (405734)
Emmanuel Chassot (405735)
Daniel E. Duplisea (522000)
Mike O. Hammill (292270)

February 2014

Parameters, variables and associated equations used in the SIMCAB estimation model. and index a...

Deterministic and stochastic processes used in SIMCAB estimation and projection models, respectively. iid: independent and identically distributed; : distributed as. : binomial distribution with probability parameter .

Nicolas Bousquet (405734)
Emmanuel Chassot (405735)
Daniel E. Duplisea (522000)
Mike O. Hammill (292270)

February 2014

Deterministic and stochastic processes used in SIMCAB estimation and projection models, respectiv...

Descriptive statistics for variables included in the multi-variable modeling process.

Kari A. Morfeld (549529)
Cheryl L. Meehan (3152697)
Jennifer N. Hogan (2746084)
Janine L. Brown (446924)

July 2016

Descriptive statistics for variables included in the multi-variable modeling process.</p

Deterministic and stochastic processes used in the ageing error and growth models. All variables are defined in table*#146;1.

Emmanuelle Dortel (405728)
Félix Massiot-Granier (405729)
Etienne Rivot (405730)
Julien Million (405731)
Jean-Pierre Hallier (405732)
Eric Morize (405733)
Jean-Marie Munaron (213787)
Nicolas Bousquet (405734)
Emmanuel Chassot (405735)

April 2013

Deterministic and stochastic processes used in the ageing error and growth models. All variables ...

Overview of the model space and the independent variables in the observation functions.

Athina Tzovara (5706422)
Christoph W. Korn (117390)
Dominik R. Bach (747098)

August 2018

The last column highlights the type of model quantity that is reflected in the observation function ...

Description of the functions, activity, and outputs of each script employed in the group model building process.

Yeeli Mui (6697391)
Ellis Ballard (6697394)
Eli Lopatin (6697397)
Rachel L. J. Thornton (6697400)
Keshia M. Pollack Porter (6697403)
Joel Gittelsohn (292778)

May 2019

Description of the functions, activity, and outputs of each script employed in the group model build...

Outcome and explanatory variables, and their sources, included in the multi-level model analysis.

Mair L. H. Thomas-Possee (17904164)
Andrew A. Channon (17904167)
Robert E. S. Bain (9773049)
James A. Wright (3031137)

February 2024

Outcome and explanatory variables, and their sources, included in the multi-level model analysis.</p

Parameters and variables used in the ageing error and somatic growth models.

Emmanuelle Dortel (405728)
Félix Massiot-Granier (405729)
Etienne Rivot (405730)
Julien Million (405731)
Jean-Pierre Hallier (405732)
Eric Morize (405733)
Jean-Marie Munaron (213787)
Nicolas Bousquet (405734)
Emmanuel Chassot (405735)

April 2013

Parameters and variables used in the ageing error and somatic growth models.</p

Model fitting results.

Fabien Pointin (625216)
Mark R. Payne (114740)

September 2014

The function is the representation of space and time in the model: “*” indicates the use of 2D o...

The resulting Statistical information obtained from replaying the event log with the Petri Net of the base model “Standard model” for conformance checking process.

Abdel-Hamed Mohamed Rashed (14670639)
Noha E. El-Attar (14670642)
Diaa Salama Abdelminaam (14670645)
Mohamed Abdelfatah (14670648)

February 2023

The resulting Statistical information obtained from replaying the event log with the Petri Net of th...

Components in the process evaluation and methods used to retrieve information in the present study.

Eva L. Bergsten (4918987)
Svend Erik Mathiassen (655555)
Johan Larsson (1921945)
Lydia Kwak (22698)

March 2018

Components in the process evaluation and methods used to retrieve information in the present stud...

Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R package—Sensitivity Analysis.

Shoma Berkemeyer (368714)
Dorothea Lemke (2549986)
Hans Werner Hense (2549989)

March 2016

Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R p...

Model workflow for estimating county-level model parameters and resulting model outputs associated with model parameters.

Aakash Pandey (17735915)
Abigail B. Feuka (17735918)
Melinda Cosgrove (17735921)
Megan Moriarty (17735924)
Anthony Duffiney (17735927)
Kurt C. VerCauteren (8032256)
Henry Campa III (3746383)
Kim M. Pepin (7892564)

January 2024

Model workflow for estimating county-level model parameters and resulting model outputs associated w...

Front cover A Conceptual Model for Event Processing Systems

Catherine Moxey
Mike Edwards
Opher Etzion
Mamdouh Ibrahim
Sreekanth Iyer
Hubert Lalanne
Mweene Monze
Marc Peters
Yuri Rabinovich
Guy Sharon
Kristian Stewart

November 2014

Learn about a conceptual model to represent event processing systems Identify key components of even...

Process components, observation functions and associated equations in the SIMCAB model. Notations , , , index age, year, survey, and commercial, respectively. The term is the indicator function of event .

Abstract

Extracted data

Process components, observation functions and associated equations in the SIMCAB model. Notations , , , index age, year, survey, and commercial, respectively. The term is the indicator function of event .

Abstract

Extracted data

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