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1

John, Lawson. Design and analysis of experiments with SAS. Boca Raton: Chapman & Hall/CRC, 2010.

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2

John, Lawson. Design and analysis of experiments with examples with SAS. Boca Raton: Chapman & Hall/CRC, 2010.

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3

John, Lawson. Design and analysis of experiments with examples of SAS. Boca Raton: Chapman & Hall/CRC, 2010.

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4

John, Lawson. Design and analysis of experiments with SAS. Boca Raton: Chapman & Hall/CRC, 2010.

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5

Institute, SAS, ed. Web development with SAS by example. 2nd ed. Cary, N.C: SAS Institute Inc., 2006.

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6

Institute, SAS, ed. Web development with SAS by example. Cary, N.C: SAS Institute, Inc., 2003.

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7

Institute, SAS, ed. Web development with SAS by example. 3rd ed. Cary, N.C: SAS Institute Inc., 2011.

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8

Institute, SAS, ed. Getting started with the SAS ADX interface for design of experiments. Cary, NC: SAS Institute, 1999.

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9

Gamst, Glenn. Analysis of variance designs: A conceptual and computational approach with SPSS and SAS. New York: Cambridge University Press, 2008.

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10

Adaptive design theory and implementation using SAS and R. Boca Raton: CRC Press, 2014.

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11

Chang, Mark. Adaptive design theory and implementation using SAS and R. Boca Raton, FL: CRC Press, 2007.

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12

Adaptive design theory and implementation using SAS and R. Boca Raton: Taylor & Francis, 2008.

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13

Pratter, Frederick E. Web development with SAS by example. 2nd ed. Cary, N.C: SAS Institute, 2006.

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14

Patrice, Godefroid, ed. Model checking software: 12th International SPIN Workshop, San Francisco, CA, USA, August 22-24, 2005 : proceedings. Berlin: Springer, 2005.

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15

Institute, SAS, ed. SAS 9.1.3 intelligence platform: System administration guide. Cary, NC: SAS Pub., 2006.

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16

Institute, SAS, ed. SAS 9.1.3 intelligence platform: Security administration guide. 2nd ed. Cary, NC: SAS Pub., 2006.

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17

Institute, SAS, ed. SAS 9.1.3 intelligence platform: Desktop application administration guide. Cary, NC: SAS Pub., 2006.

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18

Institute, SAS, ed. SAS 9.1.3 intelligence platform: Web application administration guide. Cary, NC: SAS Pub., 2006.

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19

Institute, SAS, ed. SAS 9.1.3 intelligence platform: Web application administration guide. 2nd ed. Cary, NC: SAS Pub., 2007.

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20

Institute, SAS, ed. SAS 9.1.3 intelligence platform: Application server administration guide. Cary, NC: SAS Pub., 2006.

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21

Institute, SAS, ed. SAS 9.1.3 intelligence platform: Web application administration guide. 2nd ed. Cary, NC: SAS Pub., 2007.

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22

Agopian, Ana. Scenariul ca specie literara. Editura Universitara, 2022. http://dx.doi.org/10.5682/9786062813819.

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Teoreticieni de film, scriitori sau profesionisti activi in lumea filmului au scris despre posibilitatea de a privi scenariul ca forma literara. George Garrett, poet si romancier, noteaza in introducerea unui volum de scenarii: „Aceasta remarcabila colectie de scenarii ar putea foarte bine sa reprezinte o veritabila manifestare a literaturii secolului 20”. Scriitorul Sam Thomas considera ca este important sa „recunoastem si sa admitem ca scenariul pentru film, in cele mai reusite forme ale sale, poate si ar trebui sa fie considerat literatura in aceeasi masura ca un roman sau o piesa de teatru de mare insemnatate”. Regizorul rus Andrey Tarkovsky afirma exact contrariul: „Nu privesc scenariul ca pe un gen literar. Intr‑adevar, cu cat un scenariu este mai cinematografic, cu atat mai putin poate pretinde un statut literar de sine statator, in maniera in care o piesa de teatru o poate face atat de des. Si noi stim ca in practica niciun scenariu nu a fost vreodata la nivelul literaturii”. Paul Schrader, scenarist la „Raging Bull” si „Taxi Driver”, celebrele filme regizate de Martin Scorsese, a insistat spunand ca „eu nu sunt un scriitor. Sunt scenarist, adica jumatate de regizor”. Iar regizorul suedez Ingmar Bergman admitea ca „Filmul nu are nicio legatura cu literatura”. In 1984, Gary Davis, teoretician de film, citat de Stevan Maras, scrie: „desi anumite sectii de critica si de literatura engleza incep sa studieze filmul dintr‑o perspectiva literara, nimeni nu prea stie ce sa faca cu scenariul”.
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23

Atkinson, Anthony, Randall Tobias, and Alexander Donev. Optimum Experimental Designs, with SAS. Ebsco Publishing, 2007.

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24

Optimum Experimental Designs, with SAS (Oxford Statistical Science Series). Oxford University Press, USA, 2007.

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25

Williams, ER, AC Matheson, and CE Harwood. Experimental Design and Analysis for Tree Improvement. CSIRO Publishing, 2002. http://dx.doi.org/10.1071/9780643090132.

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Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analysing tree improvement trials. Using many fully-worked examples, it outlines how to: design field, glasshouse and laboratory trials; efficiently collect data and construct electronic data files; pre-process data, screening for data quality and outliers; analyse data from single and across-site trials using either GenStat or SAS; and interpret the results from statistical analyses. The authors address the many practical issues often faced in forest tree improvement trials and describe techniques that will give conclusive results with the minimum expense. The techniques provided are applicable to the improvement of not only trees, but to crops in general. Building on the success of the first edition, this new edition has been fully revised and updated to relate to the latest commercially-available software packages for design generation (CycDesigN) and data pre-processing and automated generation of programs for statistical analysis (DataPlus). For analysis, it now provides both GenStat and SAS programs as generated by DataPlus.
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26

Atkinson, Anthony, Randall Tobias, and Alexander Donev. Optimum Experimental Designs, with SAS (Oxford Statistical Science Series). Oxford University Press, USA, 2007.

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27

Pratter, Frederick E. Web Development With SAS by Example. SAS Publishing, 2006.

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28

Gamst, Glenn. Analysis of Variance Designs: A Conceptual and Computational Approach with SPSSand SAS. Cambridge University Press, 2008.

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29

Meyers, Lawrence S., Glenn Gamst, and A. J. Guarino. Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS. Cambridge University Press, 2008.

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30

Meyers, Lawrence S., Glenn Gamst, and A. J. Guarino. Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS. Cambridge University Press, 2012.

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31

Stevens, James P., Keenan A. Pituch, and Tiffany A. Whittaker. Intermediate Statistics: Analysis for Experimental Designs, Fourth Edition. Taylor & Francis Group, 2023.

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32

Stevens, James P., Keenan A. Pituch, and Tiffany A. Whittaker. Intermediate Statistics: Analysis for Experimental Designs, Fourth Edition. Taylor & Francis Group, 2019.

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33

Chang, Mark. Adaptive Design Theory and Implementation Using SAS and R. Taylor & Francis Group, 2012.

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34

Chang, Mark. Adaptive Design Theory and Implementation Using SAS and R. Taylor & Francis Group, 2014.

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35

Chang, Mark. Adaptive Design Theory and Implementation Using SAS and R. Taylor & Francis Group, 2014.

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36

Chang, Mark. Adaptive Design Theory and Implementation Using SAS and R. Taylor & Francis Group, 2016.

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37

Design and Analysis of Experiments: Classical and Regression Approaches with SAS. Chapman & Hall/CRC, 2008.

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38

Lawson, John. Design and Analysis of Experiments with Examples of SAS (Chapman & Hall/Crc Texts in Statistical Science Series). Chapman & Hall/CRC, 2010.

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39

SAS 9.1.3 intelligence platform: Installation guide. 5th ed. Cary, NC: SAS Pub., 2006.

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40

SAS 9.1.3 intelligence platform: Data administration guide. Cary, NC: SAS Pub., 2006.

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41

SAS 9.1.3 intelligence platform: Web application administration guide. 2nd ed. Cary, NC: SAS Pub., 2007.

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42

SAS 9.1.3 intelligence platform: Troubleshooting your initial installation. Cary, NC: SAS Pub., 2006.

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43

SAS(R) 9.1.3 Intelligence Platform: System Administration Guide. SAS, 2006.

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44

Publishing, SAS. SAS(R) 9.1.3 Intelligence Platform: Security Administration Guide. SAS, 2006.

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45

Publishing, SAS. SAS(R) 9.1.3 Intelligence Platform: Data Administration Guide. SAS, 2006.

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46

SAS(R) 9.1.3 Intelligence Platform: Web Application Administration Guide. SAS, 2006.

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47

SAS(R) 9.1.3 Intelligence Platform: Installation Guide, Fifth Edition. 5th ed. SAS, 2006.

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48

SAS(R) 9.1.3 Intelligence Platform: Troubleshooting Your Initial Installation. SAS, 2006.

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49

Publishing, SAS. SAS(R) 9.1.3 Intelligence Platform: Desktop Application Administration Guide. SAS, 2006.

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50

Publishing, SAS. SAS(R) 9.1.3 Intelligence Platform: Application Server Administration Guide. SAS, 2006.

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