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Книги з теми "FORECASTING TOOL"

Автор: Grafiati

Опубліковано: 26 жовтня 2023

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1

Inc, Savant, and National Association of State Units on Aging., eds. FOCUS, forecasting tool screen documentation. [Washington, D.C.?]: Savant, Incorporated, Natl. Association of State Units on Aging, 1987.

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2

Outwater, Maren. Developing a Method Selection Tool for Travel Forecasting. Washington, D.C.: Transportation Research Board, 2017. http://dx.doi.org/10.17226/24931.

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3

Godet, Michel. Futures studies: A tool-box for problem solving. Paris: GERPA/Futuribles, 1991.

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4

B. R. S. B. Basnayake. Seasonal weather forecasting in Bangladesh using Climate Predictability Tool (CPT). Dhaka: SAARC Meteorological Research Centre, 2010.

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5

Bengoechea, Pilar. A useful tool to identify recessions in the Euro-area. Brussels: European Commission, Directorate-General for Economic and Financial Affairs, 2004.

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6

Basnayake, B. R. S. B. Forecasting of seasonal and monthly rainfall in Sri Lanka using Climate Predictability Tool (CPT). Dhaka: SAARC Meteorological Research Centre, 2009.

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7

B. R. S. B. Basnayake. Forecasting of seasonal and monthly rainfall in Sri Lanka using Climate Predictability Tool (CPT). Dhaka: SAARC Meteorological Research Centre, 2009.

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8

ICOM International Committee for Museology. Symposium. Forecasting, a museological tool?: Museology and futurology = La prospective, un outil museologique? : museologie et futurologie. [Stockholm, Sweden]: International Committee for Museology, 1995.

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9

Farley, Alan S. The master swing trader tool kit: The market survival guide. New York, USA: McGraw-Hill, 2010.

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10

The master swing trader tool kit: The market survival guide. New York: McGraw-Hill, 2010.

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11

Farley, Alan S. The master swing trader tool kit: The market survival guide. New York: McGraw-Hill, 2010.

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12

Kitamura, Ryuichi. MIDAS: A travel demand forecasting tool based on a dynamic model system of household demographics and mobility : final report. 's-Gravenhage: Ministerie van Verkeer en Waterstaat, Projectbureau Integrale Verkeers-en Vervoerstudies, 1992.

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13

Funderburg, Richard G. Linking highway improvements to changes in land use with quasi-experimental research design: A better forecasting tool for transportation decision-making. San Jose, CA: Mineta Transportation Institute, College of Business, San Jose State University, 2009.

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14

S, Seymour Robert, and Northeastern Forest Experiment Station (Radnor, Pa.), eds. Green Woods model: A forecasting tool for planning timber harvesting and protection of spruce-fir forests attacked by the spruce budworm. Broomall, Pa: U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.

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15

Achelis, Steven B. Technical analysis from A to Z: Covers every trading tool-- from the Absolute Breadth Index to the Zig Zag. Chicago: Probus Pub., 1995.

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16

Ali, Rosalan bin. A study of the use of palm oil fututures as a hedging tool on KLCE: An evaluation of Arima forecasting for risk reduction and profit opportunities. Dublin: University College Dublin, Department of Banking and Finance, 1995.

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17

McNitt, Lawrence L. Forecasting tools for the IBM PC. Hasbrouck Heights, N.J: Hayden Book Co., 1985.

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18

Budgetary forecasting in local government: New tools and techniques. Westport, Conn: Quorum Books, 1993.

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19

Smith, Bernard T. Focus forecasting and DRP: Logistics tools of the twenty-first century. New York: Vantage Press, 1991.

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20

Perez, Benjamin G., Tiffany Batac, and Peter Vovsha. Assessing Highway Tolling and Pricing Options and Impacts: Volume 2: Travel Demand Forecasting Tools. Washington, D.C.: Transportation Research Board, 2012. http://dx.doi.org/10.17226/23427.

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21

O, Chun-ho. 2050 Taehan Min'guk mirae pogosŏ: Mirae rŭl mandŭnŭn pyŏnsudŭl, uri ka mannage toel mirae. Sŏul-si: Ihaksa, 2020.

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22

Seshadri, D. V. R., 1957-, ed. Global risk/global opportunity: Ten essential tools for tracking minds, markets & money. New Delhi: Response Books, 2010.

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23

Boil, bubble, toil and trouble: An analytical exploration of bubbles. [Place of publication not identified]: Createspace, 2013.

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24

Theobald, Robert. Reworking success: Tools for creating new communities. [S.l: The Author, 1996.

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25

D, Malone S., Washington (State). Dept. of Transportation., United States. Federal Highway Administration., Washington State Transportation Center, and Washington State Transportation Commission, eds. Information tools to improve post-earthquake prioritization of WSDOT bridge inspections. Olympia, Wash: Washington State Dept. of Transportation, 2005.

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26

O, P'ung-yŏn. F-hakchŏm ŭi kŭdŭl: 2022-yŏn taesŏn, taet'ongnyŏng ŭn nuga toel kŏt in'ga. [Seoul]: Eiwŏn Puksŭ, 2020.

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27

FGBOU, VO. Digital analytics and financial security control of socially significant organizations. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1863937.

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Анотація:

The monograph is devoted to the formation of the concept of digital financial security analytics. The use of the digital environment and big data analysis tools in the system of monitoring sectoral risks and monitoring the activities of socially significant organizations from the position of the ESG strategy is disclosed. At the same time, financial security is considered as an aggregated result of the action of economic, environmental and social factors in a rapidly changing economy. It covers several key areas that make it possible to digitalize and improve the effectiveness of monitoring the activities of socially significant organizations in a complex: the development of the conceptual apparatus of socially significant business; analytical tools for assessing and forecasting financial security risks based on the concept of sustainable development; standardization of risk management. For students, postgraduates, teachers, as well as for the professional development of managerial personnel in business and government structures.

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28

Deutsche Gesellschaft für Technische Zusammenarbeit (Colombo, Sri Lanka) and Program to Improve Capacities for Poverty Research, eds. Assessing conflict risks in southern Sri Lanka: An exploratory study on conflict potentials in the Hambantota District and the applicability of PCIA tools for project impact analysis. [Colombo]: Published by GTZ Sri Lanka in collaboration with Improving Capacities for Poverty Research (IMCAP) Program at the University of Colombo, 2003.

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29

Wheeler, Mark. Verification and implementation of microburst day potential index (MDPI) and wind INDEX (WINDEX) forecasting tools at Cape Canaveral Air Station. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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30

Wheeler, Mark. Verification and implementation of microburst day potential index (MDPI) and wind INDEX (WINDEX) forecasting tools at Cape Canaveral Air Station. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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31

Technical Analysis for Direct Access Trading: A Guide to Charts, Indicators, and Other Indispensable Market Analysis Tools. USA: McGraw-Hill Companies, 2001.

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32

Capra, Greg. Trading tools and tactics: Reading the mind of the market. Hoboken, N.J: Wiley, 2011.

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33

Campbell, Mary Ann. Assessing the utility of risk assessment tools and personality measures in the prediction of violent recidivism for adult offenders. [Ottawa]: Public Safety Canada, 2007.

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34

Committee on the Effective Use of Data, Methodologies, and Technologies to Estimate Subnational Populations at Risk and National Research Council (U.S.). Committee on Population, eds. Tools and methods for estimating populations at risk from natural disasters and complex humanitarian crises. Washington, D.C: National Academies Press, 2007.

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35

E, Koenig Brett, and United States. Environmental Protection Agency. Transportation and Market Incentives Group, eds. Evaluation of modeling tools for assessing land use policies and strategies: Prepared for Transportation and Market Incentives Group, Office of Mobile Sources, U.S. Environmental Protection Agency, Ann Arbor, Michigan. [Washington, D.C.]: U.S. Environmental Protection Agency, Air and Radiation, Office of Mobile Sources, 1997.

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36

Essential technical analysis: Tools and techniques to spot market trends. New York: Wiley, 2002.

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37

Stevens, Leigh. Essential technical analysis: Tools and techniques to spot market trends. New York, NY: Wiley, 2002.

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38

Kendrick, Tom. Identifying and managing project risk: Essential tools for failure-proofing your project. 2nd ed. New York: AMACON, 2009.

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39

Rosenbaum, Arlene S. Evaluation of modeling tools for assessing land use policies and strategies ; prepared for Transportation and Market Incentives Group, Office of Mobile Sources, U.S. Environmental Protection Agency, Ann Arbor, Michigan ; prepared by Arlene S. Rosenbaum, Brett E. Koenig. [Washington, D.C.]: U.S. Environmental Protection Agency, Air and Radiation, Office of Mobile Sources, 1997.

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40

Barykin, Alex, Valentin Ikryannikov, and Yuriy Budkin. National system of standardization of the Russian Federation. Principles, goals, objectives, forecast of development. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1058023.

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Анотація:

The monograph presents the research questions of efficiency of functioning of national standardization system of the Russian Federation, which was conducted by the authors in the framework of the analytical work on the order of Minpromtorg of Russia in 2018 (the state contract from April 17, 2018 No. 18401.16Д0190019.10.002) taking into account the actual directions of development of national standardization system of the Russian Federation and additional generalizations. The assessment of the current scenario of the development of the national standardization system of the Russian Federation was carried out using comparable indicators of the national standardization systems of France, Germany, great Britain and the USA. The findings and proposals were based on the results of a survey of civil servants at the Federal and regional levels on approaches to strategic dimensions of standardization. The methodology of forecasting the development of the national standardization system of the Russian Federation includes a scenario approach and a method of constructing dispersion diagrams (bubble diagrams) and sufficiently illustrates the current state of Affairs in the field of standardization at the national level. The developed tools will require additional configuration when changing the current development scenario from "inertial" to "progressive". A number of author's proposals to change the current scenario of development of the national standardization system of the Russian Federation are presented. It is of interest to a wide range of readers and specialists in the field of public administration, standardization and can be used in the preparation of curricula and manuals for undergraduate, graduate and further education.

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41

Sil'vestrov, Sergey, Vladimir Starovoytov, Vladimir Bauer, Aleksandr Selivanov, Vladimir Lepskiy, Aleksandr Raykov, Svetlana Lipina, et al. Strategic planning in the public sector of the economy. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1081855.

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Анотація:

This collective monograph continues a series of scientific studies and publications on the problems of strategic planning, which have been carried out for several years at the Financial University under the Government of the Russian Federation with the involvement of specialists from other scientific and educational organizations. A series of research papers in 2017-2019 was devoted to the analysis of strategic development risks and the analysis of global strategic planning practice, the general methodology of strategic planning and forecasting (including in the context of ensuring Russia's economic security), the approach to the formation of life cycles of preparation and revision of strategic planning documents and their comparative analysis, the experience of coordinating budget, project and process types of management and financing, monitoring risks and threats, the use of new information tools in the strategic planning complex, including blockchain, and also naturally develops such aspects of previous research as analysis of world practice, coordination of budget, project and process types of management and financing, the use of information technologies. However, at the same time, a special task was set — to approach a comprehensive analysis of the strategic planning process as a whole, especially to study its documentary support as the core of the organization of this process and the implementation of its results in the practice of public administration, as well as to analyze the scientific support of strategic planning as an essential aspect of all strategic planning and strategic management activities in the entirety of its aspects (goal setting, forecast, design, programming, planning, control and audit). It is intended for specialists from the humanities, natural sciences and technical fields of knowledge focused on management and development problems, for undergraduates and postgraduates, as well as for a wide audience of management practitioners, including those related to strategic planning processes in the public sector.

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42

Forecasting Demand for U.S. Ground Forces: An Interactive Tool. RAND Corporation, 2022. http://dx.doi.org/10.7249/tl365.

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43

Rafferty, Greg. Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool. Packt Publishing, 2021.

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44

Robasciotti, Delena. Time Series Forecasting in Real Life: Practical Tool for Beginners. Independently Published, 2021.

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45

Upgradable Operational Availability Forecasting Tool For the U.S. Navy P-3 Replacement Aircraft. Storming Media, 2003.

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46

Forecasting of seasonal and monthly rainfall in Sri Lanka using Climate Predictability Tool (CPT). Dhaka: SAARC Meteorological Research Centre, 2009.

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47

At Atmospheric Sounding Program: An Analysis and Forecasting Tool for Weather Hazards on the Battlefield. Storming Media, 1999.

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48

García-Herrero, Alicia, and John Thornton. World Commodity Prices as a Forecasting Tool for Retail Prices - Evidence from the United Kingdom. International Monetary Fund, 1997.

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49

Garca-Herrero, Alicia, and John Thornton. World Commodity Prices As a Forecasting Tool for Retail Prices - Evidence from the United Kingdom. International Monetary Fund, 1997.

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50

Garca-Herrero, Alicia, and John Thornton. World Commodity Prices As a Forecasting Tool for Retail Prices - Evidence from the United Kingdom. International Monetary Fund, 1997.

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