Search Constraints

Start Over
Filtering by: Creator Siggel, Michele Ruth Fisher Remove constraint Creator: Siggel, Michele Ruth Fisher Non-Academic Affiliation Oregon State University. Press Remove constraint Non-Academic Affiliation: Oregon State University. Press Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

Search Results

  • OSU theses and dissertations : 1983-1992

    Creator:
    Glenn, Judith A.
    Abstract:
    Departmental and author index of Masters' theses and doctoral dissertations accepted by the Graduate School.
    Resource Type:
    Book
    Full Text:
    the USA a developed country, and a developing country. 249 Van Slyke, Ruth E. Wardrobe expenditures

  • OSU theses and dissertations : 1966-1970

    Creator:
    Guss, Margaret Basilia
    Abstract:
    A departmental and author index of Masters' Theses and Doctoral Dissertations accepted by the Graduate School.
    Resource Type:
    Book
    Full Text:
    Raymond. Controlled Po- tential Coulometry in Nonaqueous Solvents -Application to the Karl Fisher Determi

  • OSU theses and dissertations : 1978-1982

    Creator:
    Leasher, Evelyn M.
    Abstract:
    The bibliographic series contains a listing of all theses and dissertations accepted by the University from 1932 to date.
    Resource Type:
    Book
    Full Text:
    (Picea sitchensis) forest of the Oregon Coast Range. Business Education-DOCTORS 1978 283 Fisher, Harold

  • Forestry theses accepted by colleges and universities in the United States : July 1981 - June 1990

    Creator:
    Fox, M. Anne, 1939-
    Abstract:
    This is a bibliography of doctoral dissertations and masters' theses in forestry and related topics issued during the period from July 1981 through June 1990. The colleges and universities included are all accredited by the Society of American Foresters. The actual listings were supplied by the individual institutions. Topics covered...
    Resource Type:
    Book
    Full Text:
    . 225 ' Norman, Ruth A. An evaluation of the effectiveness of an unsupervised classification of Landsat