IMPORTANCE OF HIGHER ORDER MOMENTS IN IDENTIFYING THE DISTRIBUTIONS

There is an intriguing idea in the field of statistics and probability that reveals a
deeper level of comprehension in the data—an idea that goes beyond the
straightforward means and variances into the complex intricacies of distribution.
This book explores those nuances, namely the area of higher order moments.
With skewness, kurtosis, and beyond, this book sets out on a quest to disclose
the layers of moments beyond the second, each of which reveals a different
aspect of the data’s underlying narrative. We will delve into the math that
underpins these instances and investigate their applications in a range of
industries, including engineering, physics, finance, and biology. Practical
obstacles, complex math problems, and epiphanies that highlight the
effectiveness of higher order moments in revealing hidden truths will be
encountered along the route.
I extend my gratitude to the pioneers who have paved the way in the study of
moments, and to you, the reader, for embarking on this intellectual voyage.
May this book serve as a source of enlightenment, a reference for inquiry, and a
catalyst for your own insights as you navigate the intriguing world of higher
order moments.