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1

Kyllonen, Patrick C. Dimensions of information processing speed. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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2

IFIP TC8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design (1990 Schärding, Austria). Human factors in analysis and design of information systems: Proceedings of the IFIP TC8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design, Schärding, Austria, 5-8 June 1990. Amsterdam: North-Holland, 1990.

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3

IFIP TC 8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design (1990 Schärding,Austria). Human factors in analysis and design of information systems: Proceedings of the IFIP TC 8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design, Schärding, Austria, 5-8 June,1990. Amsterdam: North-Holland, 1990.

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4

Ferson, Wayne E. Stochastic discount factor bounds with conditioning information. Cambridge, MA: National Bureau of Economic Research, 2002.

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5

Groeneboom, P. Information bounds and nonparametric maximum likelihood estimation. Basel: Birkhäuser, 1992.

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6

Holtz, Jerry B. Sports performance--analysis, skills, conditions, training, and human factors: Index of new information with authors & subjects. Washington, D.C: Abbe Publishers Association, 1994.

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7

P, Enderwick Thomas, ed. Human factors in system design, development, and testing. Mahwah, N.J: Lawrence Erlbaum Associates, 2002.

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8

Marcella, Rita. Key factors in help desk success: An analysis of areas critical to help desk development andfunctionality. (London): British Library Research and Development Department, 1996.

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9

Organization for Social Science Research in Eastern and Southern Africa, ed. Factors affecting access to rural health services: A case study of Baringo area of Kenya using GIS. Addis Ababa: Organisation for Social Science Research in Eastern and Southern Africa, 2010.

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10

Wo guo zhong xiao qi ye ji shu fa zhan ce lüe de wei jie gou yin su fen xi: Analysis of micro-structure factors on the technology development strategy of medium-small firm in China. Shanghai: Shanghai she hui ke xue yuan chu ban she, 2010.

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11

Pinelli, Thomas E. NASA/DoD aerospace knowledge diffusion research project.: An analysis of five studies. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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12

Plaskova, Nataliya. Analysis of financial statements prepared in accordance with IFRS. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1121571.

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Анотація:
The textbook introduces modern methods and techniques for analyzing the activities of a commercial organization using the information contained in its financial statements prepared in accordance with International Financial Reporting Standards. Considerable attention is paid to the disclosure of calculation and analytical procedures for identifying and quantifying the impact of factors on the level of business performance. The presentation of each chapter is accompanied by practical calculation and analytical materials using the "cross-cutting task" technique, the initial information base of which is the actual financial statements of the company prepared in accordance with IFRS. After each chapter, there are control questions and tests for self-control. The tutorial includes a practical business game in the form of a built-in "Workbook". It is a solution of interrelated tasks using practical materials — the financial statements of a real commercial organization — and illustrates all the methodological methods of analysis contained in the textbook. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying under bachelor's and master's degree programs in Economics, as well as teachers and postgraduates of economic specialties, students of the system of professional training and advanced training of accountants, auditors, financial managers, practitioners of financial and analytical services of organizations.
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13

Badrick, David. Information analysis. London: Certified Accountants Educational Projects, 1994.

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14

Mike, O'Neil, ed. Information analysis. London: Paradigm, 1987.

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15

Eardley, A. Information analysis. London: Certified Accountants Educational Projects, 1994.

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16

Eardley, A. Information analysis. London: Certified Accountants Educational Projects, 1993.

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17

John), Unwin D. (David, ed. Geographic information analysis. 2nd ed. Hoboken, N.J: John Wiley & Sons, 2010.

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18

O'Sullivan, David. Geographic information analysis. 2nd ed. Hoboken, N.J: J. Wiley & Sons, 2010.

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19

Financial information analysis. Chichester: Wiley, 2001.

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20

Lake, Cathy. Information: analysis & usage. Manchester: Open College, 1995.

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21

International, Symposium on Data Analysis and Informatics (4th 1985 Versailles France). Data analysis and informatics, IV: Proceedings of the Fourth International Symposium on Data Analysis and Informatics. Amsterdam: North-Holland, 1986.

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22

International Symposium on Data Analysis and Informatics. (5th 1987 Versailles, France). Data analysis and informatics, IV: Proceedings of the Fifth International Symposium on Data Analysis and Informatics. Amsterdam: North-Holland, 1988.

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23

Austin, James E. Agroindustrial project analysis: Critical design factors. 2nd ed. Baltimore: Johns Hopkins University Press, 1992.

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24

Shumilina, Vera, Galina Krohicheva, Nataliya Izvarina, Vladimir Lesnyak, Kristina Kurshubadze, Anastasia Aistova, Elizaveta Rudenko, et al. Application of accounting, analysis and audit in enterprise management. au: AUS PUBLISHERS, 2021. http://dx.doi.org/10.26526/monography_618ba6f2989171.05397055.

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Анотація:
It is impractical to plan the further work of the company without taking into account analytical data for previous production periods. Analytical accounting data allows managers to build a company's strategy or make changes to an existing development plan. The importance of accounting for the enterprise plays a large role at the planning stage of the further business strategy. A competent manager studies accounting data before making the next decision regarding the company's finances. The easiest way to streamline accounting documents and eliminate errors in it is to conduct an internal audit. Such an audit will protect the company from possible fines and problems with tax audits. It will help optimize accounting and document flow, and simplify relations with banks and counterparties. Economic analysis aims to turn economic and non-economic information into useful information for decision making. Logical processing, study, generalization of facts, their systematization, conclusions, proposals, search for reserves - all these tasks are solved within the framework of economic analysis, which is designed to ensure the validity of management decisions and increase its effectiveness. This monograph is a collective work of teachers and students of the Department of Economic Security, Accounting and Law of the Don State Technical University. It is devoted to the consideration of certain issues of accounting, audit and economic analysis at the enterprise in modern conditions.
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25

1901-, Peterson Rudolph Earl, ed. Peterson's stress concentration factors. 2nd ed. New York: Wiley, 1997.

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26

Construction project management. Westchester, Ill: Pareto -- Building Improvement, 2010.

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27

Whyte, Grafton. Factors affecting information systems success. Cranfield: Cranfield University, 1995.

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28

Information security risk analysis. 2nd ed. Boca Raton: Auerbach Publications, 2005.

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29

Lake, Cathy. Information: Analysis and usage. Manchester: Open College, 1995.

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30

1944-, Wise John A., Debons A, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Information systems: Failure analysis. Berlin: Springer Verlag, 1987.

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31

Information security risk analysis. 3rd ed. Boca Raton, FL: Auerbach Publications, 2010.

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32

Wise, John A. Information Systems: Failure Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.

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33

Information security risk analysis. Boca Raton, FL: Auerbach, 2001.

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34

Wise, John A., and Anthony Debons, eds. Information Systems: Failure Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83091-4.

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35

Canada, Conference Board of. Budget Impact Analysis: Information. S.l: s.n, 1986.

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36

Casson, Mark. Cultural factors in innovation: An economic analysis. Reading: University of Reading. Department of Economics, 1991.

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37

Casson, Mark. Cultural factors in innovation: An economic analysis. Reading, England: University of Reading, Dept. of Economics, 1992.

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38

Traffic accident analysis, visibility factors, and motorist information needs. Washington, D.C: Transportation Research Board, National Research Council, 1987.

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39

Traffic Accident Analysis, Visibility Factors, and Motorist Information (Transportation Research Record). Natl Research Council, 1987.

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40

Meister, David, and Thomas P. Enderwick. Human Factors in System Design, Development, and Testing (Human Factors). CRC, 2001.

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41

Hinterhölzl, Roland, and Svetlana Petrova. Prosodic and information-structural factors in word order variation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198813545.003.0014.

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Анотація:
This chapter proposes an analysis that derives the word order variation in dependent clauses in OHG within a universal VO base order, plus additional cyclic leftward movement operations that target different information-structural projections in the complex left periphery of the clause. More precisely, it is argued that categories conveying contrastive information land in [Spec,FocP], with the finite verb targeting Foc° and marking the left edge of the new-information focus domain, while background information is placed further left, between ForceP and FocP. This positional realization of the verb and phrases expressing different semantic types of focus is considered a special strategy of disambiguating broad from narrow focus, as well as of avoiding the clash of two focus phrases in the middle field of clauses with multiple foci.
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42

Information Bounds and Nonparametric Maximum Likelihood Estimation. Springer My Copy UK, 1992.

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43

Holt, Jerry B. Sports Performance-Analysis, Skills, Conditions, Training & Human Factors: Index of New Information With Authorsand Subjects & Bibliography. Abbe Pub Assn of Washington Dc, 1993.

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44

Holt, Jerry B. Sports Performance-Analysis, Skills, Conditions, Training & Human Factors: Index of New Information With Authors and Subjects. Abbe Pub Assn of Washington Dc, 1993.

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45

Holtz, Jerry B. Sports Performance--Analysis, Skills, Conditions, Training, and Human Factors: Index of New Information With Authors & Subjects. ABBE Publishers Association of Washington, D., 1995.

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46

Holtz, Jerry B. Sports Performance--Analysis, Skills, Conditions, Training, and Human Factors: Index of New Information With Authors & Subjects. ABBE Publishers Association of Washington, D., 1995.

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47

Advances in full-information item factor analysis using the Gibbs sampler. 1993.

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48

L, Clarke D., Turner-Fairbank Highway Research Center, United States. Federal Highway Administration. Office of Safety and Traffic Operations Research and Development., and Battelle Human Factors Transportation Center., eds. Development of human factors guidelines for Advanced Traveler Information Systems (ATIS) and Commercial Vehicle Operations (CVO): Comparable systems analysis. McLean, Va: U.S. Dept. of Transportation, Federal Highway Administration, Research and Development, Turner-Fairbank Highway Research Center, 1996.

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49

An Analysis of Factors that have Influenced the Evolution of Information Assurance from World War I Through Vietnam to the Present. Storming Media, 2004.

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50

Davis, George C., and Elena L. Serrano. Information and Preferences. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199379118.003.0007.

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Анотація:
Chapter 7 incorporates the role of information in a very general way into the economic framework developed in Chapters 3–6. The focus of the analysis is to determine how information may affect preferences and therefore influence the demand curve and demand function for foods. The chapter evaluates possible changes in food consumption induced by a change in an information campaign relative to a nutrient or food recommendation level. It shows how other factors may moderate or offset informational campaigns that are designed to improve healthy food choices. The chapter closes with some of the main empirical findings relating different information campaigns to food and nutrition choices.
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