Hi, could you please tell us more about the models you are talking about? In with field are your working (physics, economy, ...)?

@ Richard Epenoy. I am working in the field of Machine learning, and more specific vehicular traffic path recommendation. Planning to explore graph theory based algorithm for source to destination between group of cities. Along with mathematical models, I am also looking for Data sets giving different traffic patterns between group of cities.

Univariate mathematical model refers to the mathematical model followed by the observations on a single variable.

For further details, as per your thrust, go through the following papers:

1. Dhritikesh Chakrabarty (2014) : “Determination of Parameter from Observations Composed of Itself and Errors ”, International Journal of Engineering Science and Innovative Technology, 3(2), (ISSN : 2139 – 5967), 304 – 311.

2. Dhritikesh Chakrabarty (2014) : “Analysis of Errors Associated to Observations of Measurement Type ”, International Journal of Electronics and Applied Research (ISSN : 2395 – 0064), 1(1), 15 – 28.

3. Dhritikesh Chakrabarty (2014) : “Observation Composed of a Parameter and Chance Error: An Analytical Method of Determining the Parameter ”, International Journal of Electronics and Applied Research (ISSN : 2395 – 0064), 1(2), 20 – 38.

4. Dhritikesh Chakrabarty (2015) : “Observation Composed of a Parameter and Chance Error: Determining the Parameter as Stable Mid Range ”, International Journal of Electronics and Applied Research (ISSN : 2395 – 0064), 2(1), 35 – 47.

5. Dhritikesh Chakrabarty (2015) : “A Method of Finding True Value of Parameter from Observation Containing Itself and Chance Error”, Indian Journal of Scientific Research and Technology, (E-ISSN: 2321-9262), 3(4), 14 – 21. Online available at: http://www.indjsrt.com .

6. Dhritikesh Chakrabarty (2015) : “Theoretical Model Modified For Observed Data: Error Estimation Associated To Parameter”, International Journal of Electronics and Applied Research (ISSN : 2395 – 0064), 2(2), 29 – 45.

7. Rinamani Sarmah Bordoloi and Dhritikesh Chakrabarty (2016) : “Determination of Parameter from Observation Containing Itself and Chance Error: Central Tendency of Ambient Air Temperature at Tezpur”, International Journal of Advanced Research in Science, Engineering and Technology, (ISSN : 2350 – 0328), 3(1), 1202 – 1213, Also available in www.ijarset.com.

8. Rinamani Sarmah Bordoloi and Dhritikesh Chakrabarty (2016 – 17) : “Determination of Parameter from Observation Containing itself and Chance Error: Central Tendency of Annual Extremum of Ambient Air Temperature at Dhubri”, J. Chem. Bio. Phy. Sci. (E- ISSN : 2249 – 1929), Sec. C, 7(1), 062 – 070. Online available at: www.jcbsc.org . (Impact Factor2015-16: 1.310).

9. Rinamani Sarmah Bordoloi & Dhritikesh Chakrabarty (2018): “Central Tendency of Annual Extremum of Ambient Air Temperature at Dhubri”, Aryabhatta Journal of Mathematics & Informatics {ISSN (Print) : 0975-7139, ISSN (Online) : 2394-9309}, 10(1), 115 – 124, Also available in www.abjni.com .

10.

Mathematical models are used in large number of disciplines including physics, chemistry, economics and social sciences. A mathematical model is about description of a system or process under well defined circumstances. Mathematical concepts, symbols and language are used to describe the system or process. In here the system or process variations considered using a set of variables.

The process of developing a mathematical model is called mathematical modeling. Univariate mathematical modeling refers to a development of the model using only one variable. Models involving more than one variable may be called multivariate.

Univariate mathematical model describes the dependence of the values assumed by a single variable on various factors It is described by a mathematical equation where a value assumed by the variable is expressed as a mathematical function of the factors. The mathematical function may be linear or others.

Dear Hitendra Khaimar,

Have you made any progress in the solving of the problem you have aimed at.

Go slowly, think deeply, work out perfectly. Success is then certain.

@ Dhritikesh Chakrabarty Sir, Thanks for your kind words. I am working on multivariate analysis of vehicular Traffic Data say speed, flow, distance for optimal path recommendation

Dear Hitendra Khaimar, Thank you for acknowledging me.

Best wishes to you.

Check the following reference Please.. it might's assist you in your question …

https://helda.helsinki.fi/bitstream/handle/10138/229113/MT_Sanni_Ruotsalainen.pdf?sequence=3&isAllowed=y

@ Hussam Ali Mohammed sir , thanks for sharing thesis, I will go through the same