LEADER 02419nam 2200517 a 450 001 9911004758703321 005 20200520144314.0 010 $a1-282-77036-5 010 $a9786612770364 010 $a1-4377-7808-9 035 $a(CKB)2530000000000337 035 $a(EBL)582029 035 $a(OCoLC)668196254 035 $a(SSID)ssj0000411014 035 $a(PQKBManifestationID)12171996 035 $a(PQKBTitleCode)TC0000411014 035 $a(PQKBWorkID)10353368 035 $a(PQKB)11458260 035 $a(MiAaPQ)EBC582029 035 $a(EXLCZ)992530000000000337 100 $a20101013d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvanced industrial control technology /$fPeng Zhang 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cElsevier$d2010 215 $a1 online resource (865 p.) 300 $aDescription based upon print version of record. 311 $a1-4377-7807-0 320 $aIncludes bibliographical references and index. 327 $apt. 1. Industrial control fundamentals -- pt. 2. Field elements of industrial control systems -- pt. 3. Embedded hardware in industrial control systems -- pt. 4. Controllers and computers for industrial controls -- pt. 5. Embedded networks in industrial control systems -- pt. 6. Interfaces in industrial control systems -- pt. 7. Embedded industral control software -- pt. 8. Industrial control system routines. 330 $a Control engineering seeks to understand physical systems, using mathematical modeling, in terms of inputs, outputs and various components with different behaviors. It has an essential role in a wide range of control systems, from household appliances to space flight. This book provides an in-depth view of the technologies that are implemented in most varieties of modern industrial control engineering. A solid grounding is provided in traditional control techniques, followed by detailed examination of modern control techniques such as real-time, distributed, robotic, embedded, compute 606 $aProcess control 615 0$aProcess control. 676 $a670.427 700 $aZhang$b Peng$0792193 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911004758703321 996 $aAdvanced industrial control technology$94388485 997 $aUNINA LEADER 04552nam 22007455 450 001 9910742495703321 005 20251009071956.0 010 $a981-9945-62-3 010 $a9789819945627$belectronic book 010 $a9819945623$belectronic book 024 7 $a10.1007/978-981-99-4562-7 035 $a(MiAaPQ)EBC30721382 035 $a(Au-PeEL)EBL30721382 035 $a(DE-He213)978-981-99-4562-7 035 $a(CKB)28062345300041 035 $a(EXLCZ)9928062345300041 100 $a20230825d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscrete Choice Experiments Using R $eA How-To Guide for Social and Managerial Sciences /$fby Liang Shang, Yanto Chandra 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (xvi, 203 pages) $cillustrations (some color) 311 08$aPrint version: Shang, Liang Discrete Choice Experiments Using R Singapore : Springer,c2023 9789819945610 (OCoLC)1382625432 320 $aIncludes bibliographical references. 327 $aChapter 1. An Overview of Stated Preference Methods: What and Why -- Chapter 2. A Comparison of Stated Preference Methods -- Chapter 3. Understanding the Fundamentals of DCE Experiment -- Chapter 4. A Review of R and its Applicability DCE -- Chapter 5. Framing the Research Question and Theory -- Chapter 6. Identifying DCE Attributes and Levels -- Chapter 7. Designing DCE Choice Set using R -- Chapter 8. Designing DCE Survey and Collecting Data -- Chapter 9. Analysing DCE Data using R -- Chapter 10. Visualizing and Reporting DCE Data Using R. 330 $aThis book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The book is born out of the observation of the growing popularity ? but lack of understanding ? of the techniques to investigate preferences. It acknowledges that these broader decision-making processes are often difficult, or sometimes, impossible to study using conventional methods. While DCE is more mature in certain fields, it is relatively new in disciplines within social and managerial sciences. This text addresses these gaps as the first ?how-to? handbook that discusses the design and application of DCE methodology using R for social and managerial science research. Whereas existing books on DCE are either research monographs or largely focused on technical aspects, this book offers a step-by-step application of DCE in R, underpinned by a theoretical discussion on the strengths and weaknesses of the DCE approach, with supporting examples of best practices. Relevant to a broad spectrum of emerging and established researchers who are interested in experimental research techniques, particularly those that pertain to the measurements of preferences and decision-making, it is also useful to policymakers, government officials, and NGOs working in social scientific spaces. 606 $aSociology$xMethodology 606 $aSocial sciences$xStatistical methods 606 $aExperimental design 606 $aSampling (Statistics) 606 $aPsychology 606 $aPsychology$xMethodology 606 $aSociological Methods 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aDesign of Experiments 606 $aMethodology of Data Collection and Processing 606 $aBehavioral Sciences and Psychology 606 $aQuantitative Psychology 615 0$aSociology$xMethodology. 615 0$aSocial sciences$xStatistical methods. 615 0$aExperimental design. 615 0$aSampling (Statistics) 615 0$aPsychology. 615 0$aPsychology$xMethodology. 615 14$aSociological Methods. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aDesign of Experiments. 615 24$aMethodology of Data Collection and Processing. 615 24$aBehavioral Sciences and Psychology. 615 24$aQuantitative Psychology. 676 $a301.01 676 $a153.8/3 700 $aShang$b Liang$01425299 702 $aChandra$b Yanto 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910742495703321 996 $aDiscrete choice experiments using R$93661763 997 $aUNINA