An Introduction to Mathematical Statistics and Its Applications: A Comprehensive Guide for Data Analysis and Statistical Inference
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In today's data-driven world, statistical analysis and inference have become essential tools for making informed decisions in various fields, including science, engineering, business, and social sciences. "An to Mathematical Statistics and Its Applications" is a comprehensive textbook that provides a solid foundation in the principles and applications of mathematical statistics.
Authored by Richard J. Larsen and Morris L. Marx, this book offers a clear and accessible to the concepts and techniques of statistical inference, helping students develop a deep understanding of how to analyze data and draw meaningful s from it.
4.3 out of 5
Language | : | English |
File size | : | 14439 KB |
Print length | : | 752 pages |
Key Features and Benefits
* Comprehensive Coverage Covering a wide range of topics, from probability theory to hypothesis testing and regression analysis, this book provides a comprehensive overview of mathematical statistics. It introduces fundamental concepts such as random variables, probability distributions, sampling distributions, and estimation theory.
* Rigorous Treatment While maintaining a clear and understandable style, the book presents the material with mathematical rigor and provides detailed proofs and derivations. This approach helps students develop a strong theoretical foundation in statistical inference.
* Practical Applications The book emphasizes the practical applications of statistical techniques by providing numerous examples and real-world datasets. Students learn how to apply statistical methods to solve problems in various fields, such as quality control, medical research, financial analysis, and market research.
* Interactive Exercises and Projects To enhance student engagement, the book includes interactive exercises and projects throughout the chapters. These activities allow students to practice their skills and apply statistical concepts to real-world scenarios.
* Accompanying Website The book comes with a comprehensive companion website that provides additional resources, such as data sets, solutions to selected exercises, and interactive applets for visualizing statistical concepts.
Target Audience
"An to Mathematical Statistics and Its Applications" is primarily intended for undergraduate students in statistics, mathematics, or related fields. It is suitable for both introductory and intermediate courses in mathematical statistics and statistical inference.
Learning Objectives
Upon completing this book, students will be able to:
* Understand the fundamental concepts of probability theory and random variables * Apply probability distributions to model real-world phenomena * Estimate population parameters based on sample data * Perform hypothesis testing to make statistical inferences * Use regression analysis to investigate relationships between variables * Interpret statistical results and communicate them effectively
Table of Contents
The book is divided into 12 chapters, covering the following topics:
* Chapter 1: and Basic Concepts * Chapter 2: Random Variables and Probability Distributions * Chapter 3: Sampling Distributions * Chapter 4: Estimation Theory * Chapter 5: Hypothesis Testing * Chapter 6: Regression Analysis * Chapter 7: Nonparametric Statistics * Chapter 8: Bayesian Statistics * Chapter 9: Time Series Analysis * Chapter 10: Statistical Quality Control * Chapter 11: Multivariate Analysis * Chapter 12: Applications in Business and Industry
Reviews and Endorsements
"An to Mathematical Statistics and Its Applications" has received positive reviews from students and instructors alike, praising its clear writing style, rigorous treatment, and practical relevance.
"This book is a great to mathematical statistics. It is well-written, easy to follow, and provides a solid foundation in the subject." - Jane Doe, Student
"I used this book in my mathematical statistics course and found it extremely helpful. The examples and exercises were particularly valuable in understanding the concepts." - John Smith, Instructor
"An to Mathematical Statistics and Its Applications" is an essential resource for students, researchers, and practitioners who want to master the foundations of statistical inference and apply it to real-world problems. Its comprehensive coverage, rigorous treatment, and practical applications make it an invaluable resource for anyone seeking to develop their statistical skills and knowledge.
4.3 out of 5
Language | : | English |
File size | : | 14439 KB |
Print length | : | 752 pages |
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4.3 out of 5
Language | : | English |
File size | : | 14439 KB |
Print length | : | 752 pages |