Mathematical Statistics - by Lawrence Leemis (Paperback)
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<p/><br></br><p><b> About the Book </b></p></br></br>Mathematical Statistics describes the mathematics behind the modern practice of statistics. The book covers random sampling, point estimation, interval estimation, and hypothesis testing. The pre-requisite for the text is a course in calculus-based probability.<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>Mathematical Statistics describes the mathematical<br /> underpinnings associated with the practice of statistics.<br /> The pre-requisite for this book is a calculus-based<br /> course in probability.<br /> Nearly 200 figures and dozens of Monte Carlo simulation<br /> experiments in R help develop the intuition behind the<br /> statistical methods.<br /> Real-world problems from a wide range of fields<br /> help the reader apply the statistical methods.<br /> Over 300 exercises are used to reinforce concepts and<br /> make this book appropriate for classroom use.</p><p>The table of contents for this book is given below.</p><p>1. Random Sampling<br /> 2. Point Estimation<br /> 3. Interval Estimation<br /> 4. Hypothesis Testing</p><p> </p><p> </p>
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