Mathematical statistics with applications – Bookino
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Mathematics for Machine Learning
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Description

In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors’ use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research. With the addition of contributor Brendan Ames, MATHEMATICAL STATISTICS WITH APPLICATIONS now includes an enhanced eTextbook. Simulation activities using interactive applets and R embedded within the MindTap Reader help students visualize statistical concepts, and an appendix introducing students to statistical data analysis using R can be found at the end of the eTextbook.

42 reviews for Mathematical statistics with applications

4.7
Based on 42 reviews
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4 star
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1-5 of 42 reviews
  1. This was my first exposure to probability. I only took one semester out of a two semester sequence, but that exposure really helped for graduate school in statistics. There’s a ton of applied practice problems, but few proofs. Some sections could be clearer, but it’s a way better introduction than Casella and Berger, which is an amazing text, but not as a first exposure. Pair this book with a good professor and you’ll learn a lot and be left with more questions

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  2. This is better than our first textbook. Easy to understand

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  3. I needed this textbook for a college course, but it will continue to be useful in the future.

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  4. Would expect it to be a fairly difficult read for someone new to the subject.

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  5. As advertised. It arrived a day later than promised but they kept me updated.

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