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An Introduction to Probability and Statistics (3rd Edition)

Author: Vijay K. Rohatgi, A. K. Md. Ehsanes Saleh
Binding: Paperback
Paper Quality: Yellow Paper
Category: Statistics / Probability / Mathematics
Recommended For: Advanced undergraduate and graduate students in mathematics, statistics, engineering, and data science; also useful for competitive exam preparation and research-based studies.

Key Points

  • Rigorous Theoretical Foundation – Offers a balanced introduction to probability theory and statistical inference with strong mathematical underpinnings.

  • Comprehensive Content – Covers probability distributions, sampling, estimation, hypothesis testing, linear models, and Bayesian methods.

  • Real-World Applications – Includes numerous examples and exercises that apply theory to practical statistical analysis.

  • Third Edition Updates – Revised with expanded topics, improved clarity, and updated examples to reflect current methodologies.

  • Suitable for Self-Study – Clear exposition and extensive exercises make it ideal for both classroom use and independent learners.

  • Valuable for Research and Exams – A trusted reference for students preparing for GRE, GATE, NET, CSS, and postgraduate entrance exams.

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