<電子ブック>
Probability with Statistical Applications / by Rinaldo B. Schinazi
版 | 3rd ed. 2022. |
---|---|
出版者 | Cham : Springer International Publishing : Imprint: Birkhäuser |
出版年 | 2022 |
大きさ | XI, 361 p. 23 illus., 4 illus. in color : online resource |
著者標目 | *Schinazi, Rinaldo B author SpringerLink (Online service) |
件 名 | LCSH:Probabilities LCSH:Mathematics LCSH:Statistics FREE:Probability Theory FREE:Applications of Mathematics FREE:Statistical Theory and Methods FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
一般注記 | Probability Space -- Conditional probabilities -- Discrete random variables -- Binomial random variables -- Poisson random variables -- Simulations of discrete random variables -- Combinatorics -- Continuous random variables -- The sample average and sample -- Estimating and testing proportions -- Estimating and testing means -- Small samples -- Chi-squared tests -- Design of experiments -- The cumulative distribution function -- Continuous joint distributions -- Covariance and independence -- Conditional distribution and expectation -- The bivariate normal distribution -- Sums of Bernoulli random variables -- Coupling random variables -- The moment generating function -- The chi-squared, Student and F distributions -- Sampling from a normal distribution -- Finding estimators -- Comparing estimators -- Best unbiased estimators -- Bayes’ estimator -- Multiple linear regression -- List of common discrete distributions -- List of common continuous distributions -- Further reading -- Normal table -- Student table -- Chi-squared table -- Index This textbook, now in its third edition, offers a practical introduction to probability with statistical applications, covering material for both a first and second undergraduate probability course. The author focuses on essential concepts that every student should thoroughly understand. The content is organized into brief, easy-to-follow chapters, motivated by plenty of examples. The first part of the book focuses on classical discrete probability distributions, then goes on to study continuous distributions, confidence intervals, and statistical tests. The following section introduces more advanced concepts suitable for a second course in probability, such as random vectors and sums of random variables. The last part of the book is dedicated to mathematical statistics concepts such as estimation, sufficiency, Bayes' estimation, and multiple regression. This third edition includes a new chapter on combinatorics and a more distinct separation between discrete and continuous distributions. Some of the longer chapters in the previous editions have been divided into shorter chapters to allow for more flexible teaching. Probability with Statistical Applications, Third Edition is intended for undergraduate students taking a first course in probability; later chapters are also suited for a second course in probability and mathematical statistics. Calculus is the only prerequisite; prior knowledge of probability is not required HTTP:URL=https://doi.org/10.1007/978-3-030-93635-8 |
目次/あらすじ
所蔵情報を非表示
電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
|
Springer eBooks | 9783030936358 |
|
電子リソース |
|
EB00201278 |
書誌詳細を非表示
データ種別 | 電子ブック |
---|---|
分 類 | LCC:QA273.A1-274.9 DC23:519.2 |
書誌ID | 4000142054 |
ISBN | 9783030936358 |