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Books in Statistics

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A Second Course in Stochastic Processes

  • 1st Edition
  • April 28, 1981
  • Samuel Karlin + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 9 8 6 5 0 - 4
This Second Course continues the development of the theory and applications of stochastic processes as promised in the preface of A First Course. We emphasize a careful treatment of basic structures in stochastic processes in symbiosis with the analysis of natural classes of stochastic processes arising from the biological, physical, and social sciences.

Statistical Methods for Social Scientists

  • 1st Edition
  • January 28, 1977
  • Eric A. Hanushek + 1 more
  • Peter H. Rossi
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 1 8 5 7 - 0
The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.

Evaluating Performance in Physical Education

  • 1st Edition
  • January 1, 1973
  • B. Don Franks + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 7 2 3 8 - 2
Evaluating Performance in Physical Education describes the tools and techniques that can be used by teachers to assess student performance, curriculum, and method of teaching. The book discusses conventional material in evaluating physical education performance through written, fitness tests, and elementary statistics. The text also explains nonparametric statistics, subjective evaluation, and a theoretical model for fitness and performance. The authors review the functions, evaluation, and administration of testing. The authors also explain in more detail subjective evaluation and offer three forms: 1) experience of the teacher; 2) skill to be rated; and 3) length of time for rating. In testing events, nonparametric statistical procedures show more reliability; parametric procedures are preferably to be used in established research stations. The authors also list some guidelines to be followed in evaluating the student such as objectives, assignment of grades, and acceptance of the grading plan. The book also discusses procedures when evaluation involves large groups. The text can assist physical education teachers, school administrators, and educators in evaluating their subject course or curricula.

Probability and Statistics

  • 1st Edition
  • January 1, 1969
  • Ronald Deep
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 8 0 3 8 - 1
Probability and Statistics is a calculus-based treatment of probability concurrent with and integrated with statistics.

Fundamentals of Statistics

  • 1st Edition
  • January 1, 1968
  • H. Mulholland + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 1 - 0 6 0 4 - 5
Fundamentals of Statistics covers topics on the introduction, fundamentals, and science of statistics. The book discusses the collection, organization and representation of numerical data; elementary probability; the binomial Poisson distributions; and the measures of central tendency. The text describes measures of dispersion for measuring the spread of a distribution; continuous distributions for measuring on a continuous scale; the properties and use of normal distribution; and tests involving the normal or student's ‘t’ distributions. The use of control charts for sample means; the ranges and fraction defective; the chi-squared distribution; the F distribution; and the bivariate distributions are also considered. The book deals with the idea of mathematical expectation and its relationship with mean, variance, and covariance, as well as weighted averages, death rates, and time series. Students studying for advanced level education or higher national certificates in Mechanical or Electrical Engineering, Mathematics, Chemistry, Biology, or Pharmacy, as well as university students taking such courses will find the book invaluable.