Their material attains a workable syllabus, which can be easily augmented with the teacher’s preferred emphasis. Book Description Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. … a helpful resource for teachers of mathematical statistics who are looking for an outline of teaching material and useable depth. Unable to add item to List. The contents are cleverly chosen and masterly presented. For the 2020 holiday season, returnable items shipped between October 1 and December 31 can be returned until January 31, 2021. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. Because it does not help you understanding what the author said. Statistical Theory : A Concise Introduction Abramovich , Felix , Ritov , Ya'acov Introduction Preamble Likelihood Sufficiency Minimal sufficiency Completeness Exponential family of distributionsPoint Estimation Introduction Maximum likelihood estimation Method of moments Method of least squares Goodness-of-estimation. An introduction to K-theory 203 1. Download eBook pdf/epub/tuebl/mobi Format & Read Online Full Books, This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. The first chapter is mainly concerned with the elements of the calculus of probability. These items are shipped from and sold by different sellers. Chapters and sections marked by asterisks contain more advanced topics and may be omitted. This shopping feature will continue to load items when the Enter key is pressed. Most importantly the flow is impressive, it is evident that the authors have years of experience teaching this material to students. Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. Statistical Theory: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science). 8. In order to navigate out of this carousel please use your heading shortcut key to navigate to the next or previous heading. Please try your request again later. This is one of the very rare cases when you can adopt a book as it is for your course without any efforts. This excellent text emphasizes the inferential and decision-making aspects of statistics. The Please try again. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used, A Balanced Treatment of Bayesian and Frequentist Inference- Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. This book is so bad. There's a problem loading this menu right now. The definition of K-theory 203 2. Recommend to any professor teaching the first course in statistical theory. The author conducts tests on the assumption of randomness and normality, A Concise Introduction To Statistical Inference, Global Business Today Asia Pacific Perspective 4th Edition, Development Across the Life Span Global Edition, a concise introduction to statistical inference, harry potter and the order of the phoenix, big data analytics and knowledge discovery, capital and corporal punishment in anglo saxon england, cooperation and hegemony in us latin american relations, the unofficial guide to crafting in minecraft, an architects guide to running a practice. A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. If you want to really learn statistics, please do not buy this book for learning. I taught from this book the first course in statistical theory. "As teachers of theoretical statistics, we can use a new approach, which this text offers. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with. Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Chapman and Hall/CRC; 1st edition (April 25, 2013), Reviewed in the United States on August 29, 2017. Please try again. The Bott periodicity theorem 206 3. Our payment security system encrypts your information during transmission. Based on the authors’ lecture notes, this student-oriented, self-contained book maintains a proper balance between the clarity and rigor of exposition. Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science). After viewing product detail pages, look here to find an easy way to navigate back to pages you are interested in. A glimpse at the general theory 200 Chapter 24. The breadth of topics is exactly what I was expecting for. A special chapter on linear models shows how the main theoretical concepts can be applied to the well-known and frequently used statistical tool of linear regression. Reviewed in the United States on December 26, 2015. Your recently viewed items and featured recommendations, Select the department you want to search in.
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