| LDR | | 03881cam 2200673Ki 4500 |
| 001 | | 000000392141 |
| 005 | | 20180411161507 |
| 006 | | m o d |
| 007 | | cr cnu---unuuu |
| 008 | | 170502s2017 nyu ob 001 0 eng d |
| 020 | |
▼a 9781462530298
▼q (electronic bk.) |
| 020 | |
▼a 146253029X
▼q (electronic bk.) |
| 020 | |
▼z 9781462530267 |
| 020 | |
▼z 1462530265 |
| 020 | |
▼z 9781462530274 |
| 020 | |
▼z 1462530273 |
| 029 | 1 |
▼a AU@
▼b 000060698917 |
| 035 | |
▼a (OCoLC)985106063 |
| 040 | |
▼a N$T
▼b eng
▼e rda
▼e pn
▼c N$T
▼d YDX
▼d IDEBK
▼d CSAIL
▼d GWM
▼d OCLCO
▼d NRC
▼d OCLCQ
▼d OCLCO
▼d BUF
▼d 247004 |
| 050 | 4 |
▼a QA279.5
▼b .S745 2017eb |
| 072 | 7 |
▼a MAT
▼x 003000
▼2 bisacsh |
| 072 | 7 |
▼a MAT
▼x 029000
▼2 bisacsh |
| 082 | 04 |
▼a 519.50285/53
▼2 23 |
| 100 | 1 |
▼a Stanton, Jeffrey M.,
▼d 1961-. |
| 245 | 10 |
▼a Reasoning with data :
▼b an introduction to traditional and Bayesian statistics using R/
▼c Jeffrey M. Stanton. |
| 264 | 1 |
▼a New York :
▼b The Guilford Press,
▼c [2017] |
| 300 | |
▼a 1 online resource. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references and index. |
| 520 | |
▼a Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.--
▼c Provided by Publisher. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a eBooks on EBSCOhost
▼b All EBSCO eBooks |
| 650 | 0 |
▼a Bayesian statistical decision theory
▼v Problems, exercises, etc. |
| 650 | 0 |
▼a Bayesian statistical decision theory
▼x Data processing. |
| 650 | 0 |
▼a Mathematical statistics
▼v Problems, exercises, etc. |
| 650 | 0 |
▼a Mathematical statistics
▼x Data processing. |
| 650 | 0 |
▼a R (Computer program language) |
| 650 | 7 |
▼a Bayesian statistical decision theory.
▼2 fast
▼0 (OCoLC)fst00829019 |
| 650 | 7 |
▼a Bayesian statistical decision theory
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst00829020 |
| 650 | 7 |
▼a Mathematical statistics.
▼2 fast
▼0 (OCoLC)fst01012127 |
| 650 | 7 |
▼a Mathematical statistics
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst01012133 |
| 650 | 7 |
▼a R (Computer program language)
▼2 fast
▼0 (OCoLC)fst01086207 |
| 650 | 7 |
▼a MATHEMATICS / Applied
▼2 bisacsh |
| 650 | 7 |
▼a MATHEMATICS / Probability & Statistics / General
▼2 bisacsh |
| 650 | 2 |
▼a Statistics as Topic.
▼0 (DNLM)D013223 |
| 650 | 2 |
▼a Bayes Theorem.
▼0 (DNLM)D001499 |
| 655 | 7 |
▼a Problems and exercises.
▼2 fast
▼0 (OCoLC)fst01423783 |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼i Print version:
▼a Stanton, Jeffrey M., 1961-
▼t Reasoning with data.
▼d New York : The Guilford Press, [2017]
▼z 9781462530267
▼w (DLC) 2017004984
▼w (OCoLC)960845674 |
| 856 | 40 |
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1512441 |
| 938 | |
▼a ProQuest MyiLibrary Digital eBook Collection
▼b IDEB
▼n cis38095162 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 14524772 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 14272323 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 1512441 |
| 990 | |
▼a ***1012033 |
| 994 | |
▼a 92
▼b KRDHU |