Description
Book Synopsis: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Details
Looking to master the world of statistics? Look no further than "All of Statistics: A Concise Course in Statistical Inference". This comprehensive book is not your average introductory guide - it delves into a wide range of topics to provide you with an expansive understanding of probability and statistics. Whether you're a graduate student studying computer science or a mathematics enthusiast, this book is suitable for anyone looking to deepen their knowledge in these fields. With modern topics like non-parametric curve estimation, bootstrapping, and classification, you'll be equipped with the necessary tools to excel in data analysis, data mining, and machine learning.
Don't let the complicated subject matter intimidate you! "All of Statistics" is designed to help you learn quickly and efficiently. No previous knowledge of probability and statistics is required, making this book accessible to beginners. The author assumes you have a basic understanding of calculus and linear algebra, so you can dive right into the material without any unnecessary delays. With its clear explanations and practical examples, this book is your ultimate companion for mastering statistical inference.
What sets "All of Statistics" apart is its dedication to covering a broader range of topics than other introductory books on mathematical statistics. This means you'll go beyond the basics and delve into subjects typically reserved for advanced courses. By the end of this book, you'll be well-versed in non-parametric curve estimation, bootstrapping, and classification - opening doors to more advanced studies and career opportunities.
If you're serious about statistics, this is the book for you. Its relevance to computer science, mathematics, statistics, and related disciplines means it will be an invaluable resource throughout your academic or professional journey. Are you ready to take your understanding of statistics to the next level? Get your copy of "All of Statistics" today!
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