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Books on the topic 'SCS Model'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

W, Stroup Walter, Freund Rudolf Jakob 1927-, and Littell Ramon C, eds. SAS for linear models. 4th ed. SAS Institute, 2002.

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2

K, Neerchal Nagaraj, and SAS Institute, eds. Overdispersion models in SAS. SAS Institute, 2012.

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3

Marmo, Richard. How to build sci-fi model spacecraft. Specialty Press, 2004.

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4

Zelterman, Daniel. Applied linear models with SAS. Cambridge University Press, 2010.

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5

Littell, Ramon C. SAS System for linear models. 3rd ed. SAS Institute, 1991.

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6

Wang, Jichuan. Multilevel models: Applications using SAS. De Gruyter, 2011.

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7

Applied linear models with SAS. Cambridge University Press, 2010.

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8

Leiss, Elisabeth, and Werner Abraham, eds. Modes of Modality. John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/slcs.149.

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9

), Northwest Watershed Research Center (U S. Snotel water supply forecast and instrumentation development: ARS-SCS cooperative study. U.S. Dept. of Agriculture, Soil Conservation Service, 1987.

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10

Cadigan, N. G. SAS programs for fitting a seal population dynamics model. Science Branch, Dept. of Fisheries and Oceans, 1993.

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11

A SAS/IML companion for linear models. Springer, 2010.

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12

Perrett, Jamis J. A SAS/IML Companion for Linear Models. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5557-9.

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13

Korosteleva, Olga. Advanced Regression Models with SAS and R. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315169828.

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14

C, Littell Ramon, Spector Philip C, Crum Larry, and SAS Institute, eds. SAS system for linear models, 1986 edition. SAS Institute, 1986.

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15

Fedriani, Chiara, and Andrea Sansó, eds. Pragmatic Markers, Discourse Markers and Modal Particles. John Benjamins Publishing Company, 2017. http://dx.doi.org/10.1075/slcs.186.

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16

P, Singh V., ed. Soil conservation service curve number (SCS-CN) methodology. Kluwer Academic Publishers, 2003.

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17

Winskel, Glynn. A complete proof system for SCCS with modal assertions. University of Cambridge, Computer Laboratory, 1985.

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18

Bulbul, Zeki Bulent. A protocol validator for the SCM and CFSM models. Naval Postgraduate School, 1993.

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19

Verbeke, Geert. Linear mixed models in practice: An SAS-oriented approach. Springer, 1997.

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20

Finch, W. Holmes. Applied psychometrics: Using SAS. Information Age Publishing, 2014.

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21

Guzmán, Fabián López. La sociedad por acciones simplificada SAS: Un modelo estratégico empresarial. Ediciones Doctrina y Ley, LTDA, 2012.

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22

Geert, Molenberghs, ed. Linear mixed models for longitudinal data. Springer, 2000.

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23

Sherman, G. R. Development of the SC3 software. AECL, Whiteshell Laboratories, 1996.

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24

H, Timm Neil, and Timm Neil H, eds. Univariate and multivariate general linear models: Theory and applications with SAS. 2nd ed. Chapman & Hall/CRC, 2007.

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25

A, Mieczkowski Tammy, ed. Univariate & multivariate general linear models: Theory and applications using SAS software. SAS Institute, 1997.

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26

Spiwoks, Erich. Endkampf zwischen Mosel und Inn: XIII. SS-Armeekorps. 2nd ed. Nation Europa, 1999.

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27

Fixed effects regression methods for longitudinal data using SAS. SAS Institute, 2005.

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28

Millar, R. B. Maximum likelihood estimation and inference: With examples in R, SAS, and ADMB. Wiley, 2011.

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29

Novgorod, Russia) Mezhdunarodnai︠a︡ nauchnai︠a︡ shkola-seminar "Sistemnoe modelirovanie sot︠s︡ialʹno-ėkonomicheskikh prot︠s︡essov" (28th 2005 Nizhniĭ. Trudy 28-oĭ mezhdunarodnoĭ nauchnoĭ shkoly-seminara "Sistemnoe modelirovanie sot︠s︡ialʹno-ėkonomicheskikh prot︠s︡essov" imeni akademika S.S. Shatalina: G. Nizhniĭ Novgorod, 6-10 okti︠a︡bri︠a︡ 2005 g. T︠S︡entralʹnyĭ ėkonomiko-matematicheskiĭ institut (T︠S︡ĖMI), 2006.

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30

Russia) Mezhdunarodnai︠a︡ nauchnai︠a︡ shkola-seminar "Sistemnoe modelirovanie sot︠s︡ialʹno-ėkonomicheskikh prot︠s︡essov" (27th 2004 Moscow. Tezisy dokladov i soobshcheniĭ 27-oĭ mezhdunarodnoĭ nauchnoĭ shkoly-seminara imeni akademika S.S. Shatalina "Sistemnoe modelirovanie sot︠s︡ialʹno-ėkonomicheskikh prot︠s︡essov", g. Orel, 10-13 okti︠a︡bri︠a︡ 2004. T︠S︡ĖMI RAN, 2005.

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31

Allison, Paul David. Logistic regression using the SAS system: Theory and application. SAS Institute, 1999.

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32

Kovalenko, Vladimir. Design of information systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted

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33

SCS Western Simulation Multiconference on Simulation in the Health Sciences and Services (1993 La Jolla, Calif.). Simulation in the health sciences and services: Proceedings of the 1993 SCS Western Simulation Multiconference on Simulation in The Health Sciences and Services : January 17-20, 1993, Hyatt Regency La Jolla, La Jolla, Calif. The Society for Computer Simulation, 1993.

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34

Briggs, Jessica. The Comprehensive Narrative-Crisis Model of Suicide. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0003.

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The narrative crisis model of suicide posits that individuals attempt suicide when they experience a distinct emotional state termed the suicide crisis syndrome. This chapter describes the model, which has three components: trait vulnerability, suicidal narrative, and the suicidal crisis syndrome. Trait vulnerability includes all static risk factors, which are relatively stable over time and distal to acute suicidal behavior. Suicidal narrative describes a suicidal person’s perception of his or her life story in which the past has led to an intolerable present and a future that is unimaginable

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35

Jensenius, Francesca R. Quotas and Development. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190646608.003.0004.

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The distributive effects of quotas have been much debated. Using census data merged to the state assembly constituency level, chapter 4 examines changes in the overall level of development, and the distribution of resources between SCs and others, in SC-reserved and nonreserved constituencies 1971--2001. Comparison of matched pairs of constituencies shows that the quotas had no detectable constituency-level effect on development patterns. These findings are robust across multiple model specifications, and across constituencies and villages with varying proportions of SCs. It emerges that SC po

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36

Model SCA: Wall Music. Fixture Factory, 1998.

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37

SAS for mixed models. 2nd ed. SAS Institute, Inc., 2006.

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38

Whitehill and SWAT Ltd Clark. The Scas & Vscas Model Audit File. Accountancy Books, 1993.

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39

Unjuran dengan Model Regresi:: Aplikasi SAS. Penerbit Universiti Utara Malaysia, 2007.

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40

Lim, Hock Eam, and Mohd Faisol Md. Salleh. Unjuran dengan model regresi aplikasi SAS. UUM Press, 2007. http://dx.doi.org/10.32890/9833282253.

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Buku ini membincangkan kaedah menggunakan model regresi untuk membina unjuran. Model unjuran penguraian regresi ke atas data siri masa turut dibincangkan. Bagi tujuan praktikal, semua teknik unjuran yang dibincangkan telah dimuatkan bersama atur cara perisian SAS serta output daripada menjalankan pengaturcaraan tersebut. Buku ini sesuai untuk dijadikan bahan rujukan bagi kursus Kaedah Unjuran. Tumpuan yang seimbang antara teori dan aplikasi menjadikan buku ini juga sesuai untuk para penyelidik yang berminat dalam membina unjuran dengan model regresi.

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41

C, Littell Ramon, ed. SAS system for mixed models. SAS Institute Inc., 1996.

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42

Classic sci-fi & fantasy models. Strange Light, 1996.

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43

Fisher, James F., Jichuan Wang, and Haiyi Xie. Multilevel Models: Applications Using SAS. De Gruyter, Inc., 2011.

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44

Profi, Marinela. SAS and Open-Source Model Management: Special Collection. SAS Institute, 2020.

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45

Advanced Log-Linear Models Using SAS. SAS Publishing, 2002.

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46

Milliken, George A., Walter W. Stroup, Russell D. Wolfinger, Oliver Ph D. Schabenberber, and Ramon C. Littell. SAS for Mixed Models, Second Edition. 2nd ed. SAS Publishing, 2006.

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47

Berawi, Fuad Mohamed. Ekonometrik asas: Panduan penggunaan SAS. UUM Press, 2016. http://dx.doi.org/10.32890/9789670876320.

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Buku ini secara keseluruhan memperincikan sejarah awal kewujudan ekonometrik sebagai satu ilmu yang menggabungkan teori ekonomi, teknik matematik dan ujian statistik untuk menganalisis fenomena ekonomi secara kuantitatif dengan menggunakan model ekonometrik. Model ekonometrik yang dibentuk berdasarkan kaedah yang boleh diukur, diuji dan disahkan secara kuantitatif untuk dianalisis bagi merancang sesuatu dasar ekonomi dan membuat peramalan (pengunjuran) seterusnya diaplikasi ke dunia sebenar.Semua teknik penganggaran diperjelas satu persatu daripada permulaan pembentukan model ekonometrik, diik

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48

SAS Institute. SAS System for Linear Models, 1986 (SAS Series in Statistical Applications). 3rd ed. SAS Institute, Incorporated, 1986.

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49

), Northwest Watershed Research Center (U S. Snotel water supply forecast and instrumentation development: ARS-SCS cooperative study. 1985.

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50

Model, Philippe. Model fait main: Chapeaux, sacs, ceintures, chaussures, gants, écharpes. ALTERNATIVES, 2012.

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