Search results for "31"
showing 10 items of 4401 documents
Online_Supplement_S-2_CoTiMA_V1.1_noedit - Introducing Continuous Time Meta-Analysis (CoTiMA)
2019
Online_Supplement_S-2_CoTiMA_V1.1_noedit for Introducing Continuous Time Meta-Analysis (CoTiMA) by Christian Dormann, Christina Guthier and Jose M. Cortina in Organizational Research Methods
Supplemental Material, Coded_data_in_Excel_compressed_to_put_on_line - On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critiq…
2019
Supplemental Material, Coded_data_in_Excel_compressed_to_put_on_line for On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations by John Antonakis, Nicolas Bastardoz and Mikko Rönkkö in Organizational Research Methods
Supplemental Material, sj-r-1-orm-10.1177_1094428121991907 - Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effe…
2021
Supplemental Material, sj-r-1-orm-10.1177_1094428121991907 for Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects by Mikko Rönkkö, Eero Aalto, Henni Tenhunen and Miguel I. Aguirre-Urreta in Organizational Research Methods
Supplemental Material, sj-do-1-orm-10.1177_1094428121991907 - Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Eff…
2021
Supplemental Material, sj-do-1-orm-10.1177_1094428121991907 for Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects by Mikko Rönkkö, Eero Aalto, Henni Tenhunen and Miguel I. Aguirre-Urreta in Organizational Research Methods
Supplemental Material, sj-xlsx-1-orm-10.1177_1094428121991907 - Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear E…
2021
Supplemental Material, sj-xlsx-1-orm-10.1177_1094428121991907 for Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects by Mikko Rönkkö, Eero Aalto, Henni Tenhunen and Miguel I. Aguirre-Urreta in Organizational Research Methods
Supplemental Material, sj-dta-1-orm-10.1177_1094428119877457 - On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and …
2021
Supplemental Material, sj-dta-1-orm-10.1177_1094428119877457 for On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations by John Antonakis, Nicolas Bastardoz and Mikko Rönkkö in Organizational Research Methods
Supplemental Material, Coded_data_in_Stata_to_put_on_line - On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Rec…
2019
Supplemental Material, Coded_data_in_Stata_to_put_on_line for On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations by John Antonakis, Nicolas Bastardoz and Mikko Rönkkö in Organizational Research Methods
ILR842810_AppendixTable – Supplemental material for Internal and External Hiring
2019
Supplemental material, ILR842810_AppendixTable for Internal and External Hiring by Jed DeVaro, Antti Kauhanen and Nelli Valmari in ILR Review
sj-xlsx-1-oss-10.1177_01708406211024570 – Supplemental material for Peer Interaction and Pioneering Organizational Form Adoption: A tale of the first…
2021
Supplemental material, sj-xlsx-1-oss-10.1177_01708406211024570 for Peer Interaction and Pioneering Organizational Form Adoption: A tale of the first two for-profit stock exchanges by Zeerim Cheung, Robin Gustafsson and Rasmus Nykvist in Organization Studies
Fixed angle inverse scattering for sound speeds close to constant
2021
We study the fixed angle inverse scattering problem of determining a sound speed from scattering measurements corresponding to a single incident wave. The main result shows that a sound speed close to constant can be stably determined by just one measurement. Our method is based on studying the linearized problem, which turns out to be related to the acoustic problem in photoacoustic imaging. We adapt the modified time-reversal method from [P. Stefanov and G. Uhlmann, Thermoacoustic tomography with variable sound speed, Inverse Problems 25 (2009), 075011] to solve the linearized problem in a stable way, and use this to give a local uniqueness result for the nonlinear inverse problem.