In this book, we have studied the properties of wavelet transform and their uses in the analysis of time series. A large number of researchers are now engaged in applying wavelets to different situations, and all are seem to report favorable results. Current physical applications of wavelets include a wide variety such as climate analysis, financial time series analysis, heart monitoring etc. The chapter-1, Introduction, is purely introductory in nature and is aimed to fulfill the basic needs of introducing the various concepts and foundation needed for the analysis of time series. Chapter-2, Review of Literature, accommodates majority of available past research works directly related with the present work. Chapter-3, Materials and Methods, covers the theory and practices currently being used and also needed for the present study for time series analysis.The chapter-4 comprises of the Results and Discussion of the problems discussed in chapter-3. This book will be useful to the researchers in financial time series analysis field or anyone else who may be considering utilizing wavelet based concepts for the same.
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In this book, we have studied the properties of wavelet transform and their uses in the analysis of time series. A large number of researchers are now engaged in applying wavelets to different situations, and all are seem to report favorable results. Current physical applications of wavelets include a wide variety such as climate analysis, financial time series analysis, heart monitoring etc. The chapter-1, Introduction, is purely introductory in nature and is aimed to fulfill the basic needs of introducing the various concepts and foundation needed for the analysis of time series. Chapter-2, Review of Literature, accommodates majority of available past research works directly related with the present work. Chapter-3, Materials and Methods, covers the theory and practices currently being used and also needed for the present study for time series analysis.The chapter-4 comprises of the Results and Discussion of the problems discussed in chapter-3. This book will be useful to the researchers in financial time series analysis field or anyone else who may be considering utilizing wavelet based concepts for the same.
Dr. Anuj Kumar has obtained his Master’s & doctorate degree in Mathematics from G.B.Pant University of Agriculture & Technology, Pantnagar, India. Presently he is working as an Assistant Professor with the department of Mathematics of University of Petroleum & Energy Studies, Dehradun, India. His area of interest is wavelet & reliability analysis.
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