Bootstrap Analysis of Compression Algorithms

Broad View of Computational Statistics

“…The evolution of statistical theory has been assisted by developments in statistical computing. Symbolic computing programs have been developed specifically to decrease error creation and simplify mathematical deduction [3]. Additionally, simulation facilitates rapid investigation of viable solutions [2].…”

“…Researchers employ an increasing number of computers, and statisticians depend on them more and more. Therefore, computers play a greater role in statistical research, including data storage, processing, and publishing [3]. These technologies drastically increase the efficiency of regular analysis and decrease the amount of expertise statisticians must possess.…”

“…Through these models, people may comprehend and analyze the evolution of trends and the collection of data [4]. Statistical methods have pursued a paradigm that use data analysis to choose or revise models, define suitable variations, and extrapolate processes for millennia [3]. Even though the concept of computational mathematics has been greatly improved ever since 1930s, that it wasn't until 1980 that the field of statistics gained widespread popularity.…”

“…The topic of 'computational statistics' is an area of statistical approaches that grew as a result of the advent of contemporary computers and aims to identify information inside non-numerical and numerical data. In addition to computationally expensive statistical techniques, computing statistics have included statistical computing techniques [3,4]. The latter relates to statistical procedures made possible by computational technologies.…”

“…For instance, software engineering and database methodology are examples of common statistical computing techniques. Computational statistics depend on statistical computing, applied statistics and mathematical statistics, which links to a vast array of contemporary statistical methods [3]. This article presents a comprehensive overview of computational statistics, including its motives, properties, fundamental methods, and applications.…”