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1

Zhou, Xiaoping. Projecting other public inventories for 2005 RPA timber assessment update. United States Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.

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2

R, Mills John. Projecting national forest inventories for the 2000 RPA timber assessment. U.S. Dept. of Agriculture, Forest Service, 2003.

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3

Rydell, C. Peter. Middle-Term Aggregate model for projecting Air Force enlisted personnel. RAND, 1991.

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4

Rydell, C. Peter. Middle-term aggregate model for projecting Air Force enlisted personnel. Rand, 1991.

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5

Rydell, C. Peter. Short-term aggregate model for projecting Air Force enlisted personnel (SAM). Rand, 1991.

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6

Battles, John. Projecting climate change impacts on forest growth and yield for California's Sierran mixed conifer forests: Final paper. California Energy Commission, 2009.

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7

Wetenschappelijke Raad voor het Regeringsbeleid (Netherlands). Besluiten over grote projecten. Sdu Uitgeverij, 1994.

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8

Washington (State). Office of Financial Management. Forecasting Division., ed. Washington State county population projections for growth management: By age and sex, 2000-2025 : January 2002 projections. Forecasting Division, 2002.

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9

Washington (State). Office of Financial Management. Forecasting Division., ed. Washington State county population projections for growth management: By age and sex, 2000-2025 : January 2002 projections. The Division, 2002.

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10

Alexander, Susan J. Sensitivity of TRIM projections to management, harvest, yield, and stocking assumptions. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Forest Experiment Station, 1991.

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11

Alexander, Susan. Sensitivity of TRIM projections to management, harvest, yield, and stocking assumptions. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Forest Experiment Station, 1991.

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12

United States. Department of Commerce. Office of Audit and Evaluation. Strong management controls needed over USPTO's projection of patent fee collections. U.S. Dept. of Commerce, Office of the Inspector General, Office of Audit and Evaluation, 2010.

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13

Mattur, Balakrishna, Schlickenrieder Warren, New York (State). Dept. of Environmental Conservation, and New York (State). Bureau of Water Quality Management, eds. Population projections, September 30, 1985: New York State Water Quality Management Plan. New York State Dept. of Environmental Conservation, 1985.

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14

Basu, Ritu. Financial sector projections and stress testing in financial programming: A new framework. International Monetary Fund, European and Monetary and Financial Systems, 2006.

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15

Bruning, A. J. F. Grote projecten in Nederland: Een analyse van het tijdsbeslag van twintig besluitvormingsprocessen. Wetenschappelijke Raad voor het Regeringsbeleid, 1994.

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16

J, Plantinga Andrew, and Pacific Northwest Research Station (Portland, Or.), eds. Linking land-use projections and forest fragmentation analysis. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.

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17

Marella, Richard L. Water use trends and demand projections in the Northwest Florida Water Management District. U.S. Geological Survey, 1998.

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18

Salmon Plan Development Team (Pacific Fishery Management Council). 1985 ocean salmon fisheries stock status projections, management goals, and regulation impact analysis. Pacific Fishery Management Council, 1985.

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19

Vaugh, Samuel K. Storage projection for reservoir systems: A case study of the Highland Lakes. Center for Research in Water Resources, Bureau of Engineering Research, Dept. of Civil Engineering, University of Texas at Austin, 1985.

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20

Library of Congress. Major Issues System, ed. Budget cuts: Updated projections and Gramm-Rudman-Hollings. Congressional Research Service, Library of Congress, Major Issues System], 1987.

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21

Emmanuel, Emegha. Small businesses: Techniques for start up, cost analysis, and profit projection. E. Emmanuel, 2013.

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22

Payandeh, Bijan. ONTWIGS: A forest growth and yield projection system adapted for Ontario. Great Lakes Forestry Centre, 1991.

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23

Hof, John G. National projections of forest and rangeland condition indicators: A technical document supporting the 1999 USDA Forest Service RPA Assessment. U.S. Department of Agriculture, Forest Service, 1999.

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24

Hof, John G. Nonparametric projections of forest and rangeland condition indicators: A technical document supporting the 2005 USDA Forest Service RPA assessment update. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2006.

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25

Grubb, Teryl G. Recording wildlife locations with the Universal transverse Mercator (UTM) grid system. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, 1988.

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26

R, Simpson James. China's livestock and related agriculture: Projections to 2025. CAB International, 1994.

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27

Brauner, Marygail K. The robust separation projection method for predicting monthly losses of Air Force enlisted personnel. Rand Corporation, 1991.

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28

United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. Guidance for growth factors, projections, and control strategies for the 15 percent rate-of-progress plans. U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, 1993.

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29

Eggers, Douglas M. Run forecasts and harvest projections for 2006 Alaska salmon fisheries and review of the 2005 season. Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2006.

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30

Eggers, Douglas M. Run forecasts and harvest projections for 2005 Alaska salmon fisheries and review of the 2004 season. Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2005.

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31

J, Nabuurs G., and European Forest Institute, eds. Development of European forests until 2050: A projection of forest resources and forest management in thirty countries. Brill, 2003.

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32

Connecticut Hazardous Waste Management Service. and Dresdner, Robin & Associates., eds. Low-level radioactive waste management in Connecticut--1989 and projections: Prepared for Connecticut Hazardous Waste Management Service pursuant to Connecticut general statutes 22a-162b. The Service, 1990.

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33

E, Boehmer, and United States. National Aeronautics and Space Administration., eds. Micro-optic color separation technology for efficient projection displays: Final report, contract no. NAS2-14041. Rockwell Science Center, 1997.

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34

E, Boehmer, and United States. National Aeronautics and Space Administration., eds. Micro-optic color separation technology for efficient projection displays: Final report, contract no. NAS2-14041. Rockwell Science Center, 1997.

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35

E, Boehmer, and United States. National Aeronautics and Space Administration., eds. Micro-optic color separation technology for efficient projection displays: Final report, contract no. NAS2-14041. Rockwell Science Center, 1997.

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36

E, Boehmer, and United States. National Aeronautics and Space Administration., eds. Micro-optic color separation technology for efficient projection displays: Final report, contract no. NAS2-14041. Rockwell Science Center, 1997.

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37

Rydell, C. Peter. The benchmark separation projection method for predicting monthly losses of Air Force enlisted personnel. Rand, 1991.

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38

United States. General Accounting Office. Accounting and Information Management Division, ed. Social Security: Actuarial projections of the trust funds. The Office, 2000.

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39

Army, United States, and Arroyo Center, eds. The readiness enhancement model: A personnel inventory projection model of the Army's reserve components. Rand, 1996.

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40

Property Counselors (Seattle, Wash.), Bellingham (Wash.). Planning and Community Development Dept., and Whatcom County Council of Governments., eds. Population, economic and housing projections, 1990-2000-2010: Part of the Growth Management Act Planning Process in Whatcom County, Washington. Property Counselors, 1991.

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41

Acquah, Amma. The impact and projections of information systems and its effect on health care administration and management in the National Health Service. Oxford Brookes University, 2003.

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42

Shongming, Huang. GYPSY: A growth and yield projection system for natural and regenerated stands within an ecologically based enhanced forest management framework : yield tables for seed-origin natural and regenerated lodgepole pine stands. Alberta Sustainable Resource Development, 2001.

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43

United States. Congress. House. Committee on Armed Services. Subcommittee on Seapower and Projection Forces. The future of seapower: Hearing before the Subcommittee on Seapower and Projection Forces of the Committee on Armed Services, House of Representatives, One Hundred Thirteenth Congress, first session, hearing held February 26, 2013. U.S. Government Printing Office, 2013.

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44

Office, General Accounting. Submarine combat system: Technical challenges confronting Navy's Seawolf AN/BSY-2 development : report to the chairman, Subcommittee on Projection Forces and Regional Defense, Committee on Armed Services, U.S. Senate. The Office, 1989.

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45

Rogers and Associates Engineering Corporation. and Connecticut Hazardous Waste Management Service., eds. Projections of low-level radioactive waste characteristics and volumes to be disposed at the Connecticut LLRW disposal facility: Prepared for Connecticut Hazardous Waste Management Service pursuant to Connecticut General Statutes, Section 22a-163b. Rogers & Associates, 1994.

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46

Guillaume, Benoit, and Comeau Aline, eds. A sustainable future for the Mediterranean: The Blue Plan's environment and development outlook. Earthscan, 2005.

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47

Sea power 21: Projecting decisive joint capabilities. Dept. of the Navy, 2004.

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48

Framing the Domains of IT Management : Projecting the Future...Through the Past. Pinnaflex Educational Resources Inc, 2000.

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49

The Conative Connection: A Revolutionary New Management Tool for Accurately Predicting Performance and Projecting Results. Audio Renaissance, 1990.

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50

Terry, Tara, Jeremy Eckhause, Michael McGee, James Bigelow, and Paul Emslie. Projecting Air Force Rated Officer Inventory Across the Total Force: Total Force Blue Line Model for Rated Officer Management. RAND Corporation, 2019. http://dx.doi.org/10.7249/rr2796.

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