Understanding Structural Equation Modeling: A Manual for Researchers (Synthesis Lectures on Mathematics & Statistics) - Tapa dura

Libro 62 de 72: Synthesis Lectures on Mathematics & Statistics

Verma, J. P.; Verma, Priyam

 
9783031326721: Understanding Structural Equation Modeling: A Manual for Researchers (Synthesis Lectures on Mathematics & Statistics)

Sinopsis

The authors then discuss the initial steps for performing structural equation modeling, including model specification, model identification, model estimation, model testing, and model modification.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

J.P. Verma, Ph.D., is the Vice Chancellor of Sri Sri Aniruddhadeva Sports University of Assam. He received his Ph.D. from the Department of Mathematics of Jiwaji University. He was previously a faculty member at Lakshmibai National Institute of Physical Education (LNIPE) for 38 years. He served in several positions while at LNIPE, including  I/c Vice Chancellor, Head of the Department of Sports Psychology, Dean of Student Welfare, Director of the Centre for Advanced Studies, and Member of the Board of Management. One of his main research interests is sports statistics, which  aims to bring the rigor of research methodology to sports and physical education. 
Priyam Verma, Ph.D., is a post-doctoral fellow at the Aix-Marseille School of Economics. He received his Ph.D. in Economics from the University of Houston. He was previously an Instructor, Teaching Assistant, and Research Assistant  at the University of Houston. He was also the recipient of Dr. Walter J. Primeaux Jr. and Natalie A. Primeaux Scholarship awarded for most promising dissertation work in the 4th year. His primary research interests are macroeconomics, growth, trade, and geography. 

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9783031326752: Understanding Structural Equation Modeling: A Manual for Researchers (Synthesis Lectures on Mathematics & Statistics)

Edición Destacada

ISBN 10:  303132675X ISBN 13:  9783031326752
Editorial: Springer, 2024
Tapa blanda