Statistical Inference Unveiled: A Concise Course in 'All of Statistics'

Statistical Inference Unveiled: A Concise Course in 'All of Statistics' is an invaluable resource that simplifies the often complex field of statistical inference. This concise course covers essential topics such as bootstrapping, random variables, and mathematical statistics. It also delves into practical applications, including data mining, machine learning, and classification. With tools like Mathematica and ROOT, this book offers practical insights to help readers grasp the intricacies of statistical inference. Whether you're a student, researcher, or professional, this resource unveils the key concepts and techniques needed to make informed statistical inferences and navigate the world of data analysis effectively.

Subjects / Topics

Mathematics, Computational Mathematics and Numerical Analysis, Probability Theory and Stochastic Processes, Complex Systems, Statistical Theory and Methods, Probability and Statistics in Computer Science, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Keywords Covered

Bootstrapping, Mathematica, Root, Random Variable, Statistica, Classification, Data Mining, Machine Learning, Mathematical Statistics

Pages – 438