did not point out the specific criticisms of likelihood (and Bayesian) concepts that seem to dissuade most theoretical and applied statisticians from adopting them. As one whom Edwards particularly credits with
Statistical Methods in the Atmospheric Sciences, Fourth Edition,continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new conten...
Combination issues lie at the core of computer science and modern discrete mathematics. Artificial intelligence lays the foundation for induction and deduction techniques. Induction in computer science involves establishing statements based on specific to general observations, while deduction operates in the ...
Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the ...
The use of statistical methods in data science Statistical analysis is the key to many data science tasks. It is used for many types of analysis ranging from the computation of simple mean and medium to complex multiple regression analysis. Chapter 5, Statistical Data Analysis Techniques, introduce...
In J. L. Stanford & S. B. Vardeman (Eds.), Statistical methods for physical science (pp.245-282). San Diego, CA: Academic Press Inc.Percival, D. (1994). Statistical Methods for Physical Science. Stanford & Vardeman. 313-48D.A. Lewis, in Statistical methods for physical science, eds...
Statistical Methods in Biology By Dr. Norman T. J. Bailey. (Biological Science Texts.) Pp. ix + 200. (London: English Universities Press, 1959.) 25s. net. Elementary Statistics with Applications in Medicine and the Biological Sciences By Prof. Frederick E. Croxton. Pp. vii + 380. (New...
Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is...
Multiple testing correction for mean tests in time series rolling window analysis with an application of GWAS methods Siyu Wang Yeonwoo Rho Original Paper02 June 2025 On the application of Ferguson characterization for the construction of a goodness-of-fit test for the geometric distribution ...
The rise of big data has significantly elevated the significance of data science, catalyzing extensive research across multiple fields, including mathematics, statistics, computer science, and artificial intelligence. Data science encompasses modeling, computation, and learning processes to transform data ...