Advanced Statistical Methods

ISBN-13: 9789819972562 / Angielski

Sahana Prasad

Spis treści

1. Advanced Concepts in Regression.- 2. Index Numbers.- 3. Time Series.- 4. Vital Statistics.

O autorze

Sahana Prasad has a remarkable background as an adept trainer and esteemed faculty member in the domains of Data Science, Statistics, Operation Research, Actuarial Statistics, Microsoft EXCEL, R programming, Business analytics, PYTHON,  TABLEAU , machine learning ,and associated fields. With an extensive span of 33 years, her expertise spans academic instruction, corporate consulting, and professional development. She holds affiliations with prestigious institutions and has orchestrated numerous impactful workshops and training sessions.

Notably, Sahana Prasad has been honored with the Statistical Capacity Building award from the World Bank, a distinction that underscores her contributions. Her influence extends beyond accolades, as she has earned recognition in Asia Research News and contributes as a dedicated volunteer  and consultant statistician at Statistics Without Borders. Her influence as a thought leader is further evident through her roles as a speaker and resource person at diverse conferences, seminars, and webinars. Her technical prowess is also evident in her substantial body of work, comprising several published articles in esteemed journals.

Additionally, Sahana Prasad is an accomplished author, having penned two authoritative volumes on Statistics, with a third eagerly awaiting publication through Springer Nature. Her literary reach extends to more than 3000 articles, which have been published in newspapers and magazines, solidifying her status as a prolific and respected voice in her field.

Blurb

This is the second book of the two volumes covering the advanced statistical methods and analysis. Significant topics include advanced concepts in regression, index numbers, time series, and vital statistics. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed tools. This book will be a valuable text for advanced undergraduate students of statistics, management, economics, and psychology, wanting to gain advanced understanding of statistics and the usage of its various concepts.