| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046042519 | |
| 005 | 20200831153156 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 200814s2014 nyua ob 001 0 eng d | |
| 020 | ▼a 9781461487753 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 001.4 ▼2 23 |
| 084 | ▼a 001.4 ▼2 DDCK | |
| 090 | ▼a 001.4 | |
| 100 | 1 | ▼a Kroese, Dirk P. |
| 245 | 1 0 | ▼a Statistical modeling and computation ▼h [electronic resource] / ▼c Dirk P. Kroese, Joshua C.C. Chan. |
| 260 | ▼a New York, NY : ▼b Springer New York : ▼b Imprint: Springer, ▼c 2014. | |
| 300 | ▼a 1 online resource (xx, 400 p.) : ▼b ill. (some col.). | |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a Probability Models -- Random Variables and Probability Distributions -- Joint Distributions -- Common Statistical Models -- Statistical Inference -- Likelihood -- Monte Carlo Sampling -- Bayesian Inference -- Generalized Linear Models -- Dependent Data Models -- State Space Models -- References -- Solutions -- MATLAB Primer -- Mathematical Supplement -- Index. |
| 520 | ▼a This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 630 | 0 0 | ▼a MATLAB. |
| 650 | 0 | ▼a Statistics. |
| 650 | 0 | ▼a Probabilities. |
| 650 | 0 | ▼a Mathematical models. |
| 700 | 1 | ▼a Chan, Joshua ▼q (Joshua C. C.). |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4614-8775-3 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 001.4 | 등록번호 E14031236 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |