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Books on the topic 'Statistical indicator of the process'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Oakland, John S. Statistical process control. 6th ed. Burlington, MA: Butterworth-Heinemann, 2008.

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2

Statistical process control. 3rd ed. Oxford: Butterworth-Heinemann, 1996.

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3

Liu, Huamin. Statistical process control. Birmingham: University of Birmingham, 1988.

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4

Statistical process control. 5th ed. Oxford: Butterworth-Heinemann, 2003.

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5

Doty, Leonard A. Statistical process control. New York, N.Y: Industrial Press, 1991.

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6

Doty, Leonard A. Statistical process control. 2nd ed. New York: Industrial Press, 1996.

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7

Alwan, Layth C. Statistical process analysis. Boston: Irwin/McGraw-Hill, 2000.

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8

Wetherill, G. Barrie, and Don W. Brown. Statistical Process Control. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2949-5.

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9

Stephen, Mundwiller. Statistical Process Control. Boca Raton : CRC Press, Taylor & Francis Group, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781351248518.

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10

Oakland. Statistical Process Control. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511.

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11

Parushina, Natal'ya, Oksana Gubina, Vitaliy Gubin, Inna Butenko, Natal'ya Suchkova, Svetlana Deminova, and Svetlana Timofeeva. Theory and practice of analysis of financial statements of organizations. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1023563.

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The textbook discusses the theoretical and practical aspects of the analysis of financial statements of organizations in various fields of activity. The theory and practice of the analysis of reporting forms are based on the use of modern regulatory documents in the field of accounting and tax accounting, auditing, statistics. The textbook reflects the features of the analysis of financial, accounting, tax, statistical reporting of organizations based on the use of a system of analytical indicators and the interconnection of reporting forms. Examples of execution of analytical documents of the economist-analyst are given, which allow to visualize the process of conducting and summarizing the results of the analysis of reporting indicators in organizations of various types of activity. Meets the requirements of the federal state educational standards of higher education of the latest generation and includes a course of lectures, discussion questions, tests, practical situations and tasks. For undergraduate and graduate students, graduate students, teachers of economic universities and colleges, auditors, accountants, economists, employees of tax, statistical and financial services.

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12

Office, United Nations Statistical. Selected statistical indicator on youth: International youth year. New York: United Nations, 1985.

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13

1917-, Chambers David S., ed. Understanding statistical process control. 2nd ed. Knoxville, Tenn: SPC Press, 1992.

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14

Statistical process control demystified. New York: McGraw-Hill, 2011.

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15

Chambers, David S. (David Smith), 1917-1989, ed. Understanding statistical process control. 3rd ed. Knoxville, Tenn: SPC Press, 2010.

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16

Wheeler, Donald J. Understanding statistical process control. Knoxville, Tenn: Statistical Process Controls, Inc., 1986.

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17

Chakraborti, Subhabrata, and Marien Alet Graham. Nonparametric Statistical Process Control. Chichester, UK: John Wiley & Sons Ltd, 2019. http://dx.doi.org/10.1002/9781118890561.

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18

Ge, Zhiqiang, and Zhihuan Song. Multivariate Statistical Process Control. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4513-4.

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19

Wheeler, Donald J. Understanding statistical process control. Knoxville, Tenn: Statistical Process Controls, 1986.

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20

Statistical process control and beyond. Malabar, Fla: R.E. Krieger Pub. Co., 1988.

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21

R, Thompson James. Statistical process controlfor quality improvement. New York: Chapman & Hall, 1993.

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22

Lewis, C. D. Courseware for statistical process control. Birmingham: Aston Business School Research Institute, 1993.

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23

R, Evans James. Fundamentals of statistical process control. [Watertown, MA]: American Management Association, 1994.

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24

Owen, Mal. Statistical process control: A summary. London: Further Education Unit, 1988.

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25

Badavas, Paul C. Real-time statistical process control. Englewood Cliffs, N.J: P T R Prentice Hall, 1993.

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26

Smith, Gerald. Statistical process control andquality improvement. New York: Merrill, 1991.

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27

Kennerley, V. M. Dehydrogenase activity as a potential process indicator foranaerobic digestion. Manchester: UMIST, 1994.

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28

Ge, Zhiqiang. Multivariate Statistical Process Control: Process Monitoring Methods and Applications. London: Springer London, 2013.

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29

Hollister, Pam. The People Process. San Diego, Calif: Pfeiffer, 1992.

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30

SPC: Statistical process control in extrusion. Munich: Hanser Publishers, 1993.

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31

Oakland, John S. Statistical process control: A practical guide. London: Heinemann, 1986.

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32

Wetherill, G. Barrie. Statistical process control: Theory and practice. London: Chapman and Hall, 1991.

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33

F, Followell Roy, ed. Statistical process control: A practical guide. 2nd ed. Oxford: Heinemann Newnes, 1990.

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34

Statistical process control and quality improvement. 5th ed. Upper Saddle River, NJ: Pearson/Prentice Hall, 2002.

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35

Smith, Gerald. Statistical process control and quality improvement. 5th ed. Upper Saddle River, NJ: Prentice Hall, 2004.

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36

Kear, Fred W. Statistical process control in manufacturing practice. New York: Marcel Dekker, 1998.

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37

F, Followell Roy, ed. Statistical process control: A practical guide. 2nd ed. Oxford: Butterworth-Heinemann, 1994.

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38

Oakland, John S. Statistical process control: A practical guide. New York: Wiley, 1986.

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39

Company, Ford Motor. Statistical process control for dimensionless materials. [s.l.]: Ford Motor Company, 1986.

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40

Aft, Lawrence S. Quality improvement using statistical process control. San Diego: Harcourt Brace Jovanovich, 1988.

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41

Jacek, Koronacki, ed. Statistical process control for quality improvement. New York: Chapman & Hall, 1993.

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42

Statistical process control and quality improvement. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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43

Drain, David. Statistical methods for industrial process control. New York: Chapman & Hall, 1997.

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44

Drain, David. Statistical methods for industrial process control. Dordrecht: Springer-Science+Business Media, B.V., 1997.

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45

McNeese, William H. Statistical methods for the process industries. Milwaukee: ASQC Quality Press, 1991.

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46

McNeese, William H. Statistical methods for the process industries. Milwaukee: ASQC Quality PressMacmillan, 1991.

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47

Hart, Marilyn K. Statistical process control for health care. Australia: Duxbury/Thomson Learning, 2002.

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48

Statistical process control and quality improvement. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1995.

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49

Arkhipova, M. Yu, M. V. Kagirova, A. V. Ukolova, Yu N. Romantseva, A. E. Kharitonova, and V. V. Demichev. Analysis of the international practice of digitalization implementation in the agro-industrial complex of national and supranational economies, on the example of countries with traditionally developed agriculture. Publishing house of the Russian state agrarian University UN-TA im. K. A. Timiryazeva, 2021. http://dx.doi.org/10.26897/978-5-907477-35-3-2021-118.

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The analytical materials contain the results of studying the main trends in the development of agriculture, including the features of the use of digital technologies in the agricultural sector of countries with different levels of agricultural development and the degree of digitalization of the economy, a developed system of statistical indicators for a comprehensive description of the conditions, the process of results and the effectiveness of the use of digital technologies in agriculture, a system of indicators for monitoring these processes.

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50

Begum, Ghousia, ed. Biomarker - Indicator of Abnormal Physiological Process. InTech, 2018. http://dx.doi.org/10.5772/intechopen.71302.

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