| 000 | 02935cam a22005058i 4500 | ||
|---|---|---|---|
| 001 | 21826475 | ||
| 003 | OSt | ||
| 005 | 20251023070305.0 | ||
| 006 | m |o d | | ||
| 007 | cr ||||||||||| | ||
| 008 | 201117s2021 nju ob 001 0 eng | ||
| 010 | _a 2020051134 | ||
| 020 |
_a9781119714965 _q(epub) |
||
| 020 |
_a9781119714927 _q(adobe pdf) |
||
| 020 |
_z9781119714903 _q(hardback) |
||
| 035 | _a21826475 | ||
| 040 |
_aDLC _beng _cAMIU _erda |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aTS156 _b.K46 2021 |
| 100 | 1 |
_aKenett, Ron, _eauthor. |
|
| 245 | 1 | 0 |
_aModern industrial statistics : _bwith applications in R, MINITAB and JMP / _cRon S. Kenett, Chairman and CEO, the KPA Group, Raanana, Israel Research Professor, University of Turin, Turin, Italy, and Senior Research Fellow, Samuel Neaman Institute for National Policy Research, Technion, Israel, Shelemyahu Zacks, Distinguished Professor, Binghamton University, Binghamton, USA ; with contributions from Daniele Amberti, Turin, Italy. |
| 250 | _aThird edition. | ||
| 263 | _a2103 | ||
| 264 | 1 |
_aHoboken, NJ : _bWiley, _c2021. |
|
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 0 | _aStatistics in practice | |
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality is its main concern. Variability is inherent in all processes, whether they be manufacturing processes or service processes. This variability must be controlled to create high quality goods and services and must be reduced to improve quality. Industrial Statistics focuses on the use of statistical thinking, i.e., the appreciation of the inherent variability of all processes in order that all possible outcomes can be assessed. It also focuses on developing skills for modeling data and designing experiments that can lead to improvements in performance and reductions in variablity"-- _cProvided by publisher. |
||
| 583 |
_aCataloging Notes: _c20251023 _kSTAMIU-0199STAMIU-0199 |
||
| 588 | _aDescription based on print version record and CIP data provided by publisher; resource not viewed. | ||
| 630 | 0 | 0 | _aMinitab. |
| 630 | 0 | 0 | _aJMP (Computer file) |
| 650 | 0 |
_aQuality control _xStatistical methods. |
|
| 650 | 0 |
_aReliability (Engineering) _xStatistical methods. |
|
| 650 | 0 | _aR (Computer program language) | |
| 700 | 1 |
_aZacks, Shelemyahu, _d1932- _eauthor. |
|
| 700 | 1 |
_aAmberti, Daniele, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _aKenett, Ron. _tModern industrial statistics _bThird edition. _dHoboken, NJ : Wiley, 2021. _z9781119714903 _w(DLC) 2020051133 |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cBK _n0 |
||
| 999 |
_c21723 _d21723 |
||