Reception of probability theory and statistical methods in Poland

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Roman Duda
1949 ◽  
Vol 44 (248) ◽  
pp. 567
Author(s):  
John W. Tukey ◽  
F. N. David

1988 ◽  
Vol 7 (5) ◽  
pp. 583-590 ◽  
Author(s):  
D.W. North

Probability theory can provide a general way of reasoning about uncertainty, even when data are sparse or absent. The idea that probabilities can represent judgment is a basic principle for decision analysis and for the Bayesian school of statistics. The use of judgmental probabilities and Bayesian statistical methods for the analysis of toxicological data appears to be promising in reaching broad conclusions for policy and for research planning. Illustrative examples are given using quantal dose-response data from carcinogenicity bioassays for two chemicals, perchloroethylene and alachlor.


2020 ◽  
Vol 3 (3) ◽  
pp. 373-379
Author(s):  
Jasminka Bonato ◽  
Biserka Draščić Ban ◽  
Antun Kraš

Today’s society is served by modern technology, accompanied by effects of insecurity and uncertainty, which are important and inevitable. Engineering analysis must include methods of assessing these impacts on the design, implementation and operation of technical systems. Mathematical statistics and probability theory provide the mathematical basis for modeling unreliability and analysis as well as their impact on already built technical systems. The aim of the paper is to introduce quantitative methods that enable systematic development of planned and constructed criteria, problem modeling and evaluation of economically technical optimum.


1951 ◽  
Vol 15 (3) ◽  
pp. 376-377
Author(s):  
Charles J. Marsh

1950 ◽  
Vol 34 (308) ◽  
pp. 155
Author(s):  
Frank Sandon ◽  
F. N. David

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ruiqin Su ◽  
Mohammed Basheri ◽  
Mohamad Salama

Abstract The paper relies on the practice process of entrepreneurship education in colleges and universities to carry out research. It summarizes the optimal models suitable for students’ employment and entrepreneurship based on statistical analysis using the probability theory. We built a pyramid structured model of college students’ entrepreneurial ability based on this model. The thesis uses statistical methods to carry out a factor analysis of various abilities. It provides a basis for the adjustment and implementation of employment-oriented entrepreneurship education models in colleges and universities.


Econometrica ◽  
1953 ◽  
Vol 21 (1) ◽  
pp. 204
Author(s):  
Erling Sverdrup ◽  
F. N. David

1950 ◽  
Vol 57 (8) ◽  
pp. 570
Author(s):  
J. Wolfowitz ◽  
F. N. David

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