eTekkatho

eTekkatho logo - Myanmar language version

Educational resources for the Myanmar academic community

You are here: HomeResearch tools and methods › Quantitative methods › Results 2632 of 32

Sort by:

  • A–Z
  1. Title

    Modelling heat transfer: LearningSpace: Open University

    Description
    This introductory module on the mathematical modelling of heat transfer is the fourth in a series of five modules on mathematical modelling. It is provided as a workbook with a separate document providing answers to the exercises. The module is expected to take four hours to complete and is provided by the UK Open University as part of its LearningSpace, a collection of over 800 free online courses (as at July 2016).
    Publisher
    Open University
    http://www.open.edu/openlearn/education/mathematics-education/modelling-heat-transfer/content-section-0
  2. Title

    Modelling pollution in the Great Lakes: a review: LearningSpace: Open University

    Description
    This introductory module further develops the mathematical modelling of the variation with time of pollution levels in the Great Lakes of North America and is the fifth in a series of five modules on mathematical modelling. It is provided as a workbook with a separate document providing answers to the exercises. The module is expected to take four hours to complete and is provided by the UK Open University as part of its LearningSpace, a collection of over 800 free online courses (as at July 2016).
    Publisher
    Open University
    http://www.open.edu/openlearn/science-maths-technology/science/environmental-science/modelling-pollution-the-great-lakes-review/content-section-0
  3. Title

    Modelling pollution in the Great Lakes: LearningSpace: Open University

    Description
    This introductory module on the mathematical modelling of the variation with time of pollution levels in the Great Lakes of North America is the first in a series of five modules on mathematical modelling. It is provided as a workbook with a separate document providing answers to the exercises. The module is expected to take four hours to complete and is provided by the UK Open University as part of its LearningSpace, a collection of over 800 free online courses (as at July 2016).
    Publisher
    Open University
    http://www.open.edu/openlearn/science-maths-technology/science/environmental-science/modelling-pollution-the-great-lakes/content-section-0
  4. Title

    Normal distribution: A-Level course material

    Description
    This resource describes normal distributions, and how to use them to solve a wide range of mathematical problems. A discussion of how to apply normal distributions to approximate other types of mathematical distributions is included. Numerous worked examples are presented, with illustrations where applicable. The resource is chapter 8 of 12 dealing with statistics, as part of a wider collection of A-Level course material provided by the Centre for Innovation in Mathematics Teaching, University of Plymouth. Answers to the exercises are also catalogued in the e-library.
    Publisher
    Centre for Innovation in Mathematics Teaching (CIMT), University of Plymouth
    http://www.cimt.plymouth.ac.uk/projects/mepres/alevel/stats_ch8.pdf
  5. Title

    Poisson distributions: A-Level course material

    Description
    This resource introduces the Poisson distribution, its uses and how to apply it. Topics also include calculating mean and variance, combining variables,and approximating a binomial distribution using this method. Numerous worked examples are presented, with illustrations where applicable. The resource is chapter 6 of 12 dealing with statistics, as part of a wider collection of A-Level course material provided by the Centre for Innovation in Mathematics Teaching, University of Plymouth. Answers to the exercises are also catalogued in the e-library.
    Publisher
    Centre for Innovation in Mathematics Teaching (CIMT), University of Plymouth
    http://www.cimt.plymouth.ac.uk/projects/mepres/alevel/stats_ch6.pdf
  6. Title

    Practical guide to the use of selected multivariate statistics

    Description
    Notes are provided on choosing multivariate statistical techniques and the state that data must be in to use the desired technique. They cover data screening, multiple correlation and regression, principle components analysis (PCA) and factor analysis, discriminant analysis, cluster analysis and spatial autocorrelation. Appendices cover correlation coefficients and coefficients of variation, homoscedasticity, linearity, the multivariate general linear hypothesis (MGLH), missing data, multicollinearity and singularity, normality, orthogonality, outliers, residual plots and data transformation. The notes summarise statistical techniques presented in a geography course and are made available online by the Canadian Forest Service, Natural Resources Canada.
    Author
    Mile Wulder
    Publisher
    Government of Canada
    http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/31975.pdf
  7. Title

    Statistical process control: A-Level course material

    Description
    This resource discusses statistical process control and its application. Topics include what the technique is used for, how to set up and interpret charts for a range of statistics, and estimating short-term standard deviation. Numerous worked examples are presented, with illustrations where applicable. The resource is chapter 8 of 9 dealing with further concepts in statistics, as part of a wider collection of A-Level course material provided by the Centre for Innovation in Mathematics Teaching, University of Plymouth. Answers to the exercises are also catalogued in the e-library.
    Publisher
    Centre for Innovation in Mathematics Teaching (CIMT), University of Plymouth
    http://www.cimt.plymouth.ac.uk/projects/mepres/alevel/fstats_ch8.pdf

Sort by:

  • A–Z