ST - 361 Distribution Theory - II | Book Publisher International

 In this book of classification theory, probability density functions of various distributions are defined and their possessions are studied. It explains the main operations on distributions, such as gettv mean, median, mode, quartiles, irregularity, correlation middle from two points 2 variables etc.This book serves as a comprehensive introduction to distributions like Weibull, Laplace, Lognormal, Truncated Normal, Pareto and Bivariate Normal. It survey the mathematical foundations of distributions, their concerning mathematics properties, and their union properties.In addition to the foundational facets, the book explores differing applications of distribution hypothesis. The book includes abundant examples, exercises.

Author(s) Details:

Malati C. Yeola,
Department of Statistics, Ahmednagar College, Ahmednagar, Maharashtra, India and Savitribai Phule Pune University, Pune, India.

 Please see the link here: https://stm.bookpi.org/STDT-II/article/view/11909

Study about Wind Energy Map of Arabian Gulf: Advantages and Challenges | Chapter 9 | Novel Perspectives of Geography, Environment and Earth Sciences Vol. 9

The main goals of this episode are to create wind energy map of Arabian Gulf established statistical study of long term dossier. Sustainable development is attainable by use of sustainable energy and by guaranteeing access to inexpensive, reliable, tenable, and modern strength for citizens. Wind power is the change of wind energy into a useful form of strength, such as utilizing wind turbines to make power, windmills for mechanical capacity, wind pumps for water pumping or drainage, or sails to throw ships. This paper is on the wind strength resource chance over Arabian Gulf waters, covering 2300 gridiron points. The data usable with Coastal Information System data base at Kuwait Institute for Scientific Research, Kuwait, from 1979 to 2015 is secondhand. Electricity consumption in GCC nations increased expeditiously during the last three decades not only in certain terms, but still in terms of its agree total energy demand. From the dossier sources, the frequency distribution and power mass were determined. The wind power bulk was assessed by fitting the Weibull frequency distribution function to the wind speed data. The examination is conducted at elevations of 10, 30, and 50 meters. The Weibull shape limit k varies from 2.5 to 3 at the northward and central of the Arabian Gulf. The annual mean wind power bulk over Arabian Gulf Waters is the highest in the main region of the Gulf. The capacity density at 10 m, 30 m and 50 m center height varies middle 200 to 300 w/m2, 200 to 300 w/m2 and more than 300 w/m2 individually. Since the Arabian Gulf's core domain falls inside the Wind Energy Resource Atlas of the United States' Class 2 category, it is attractive to develop big wind power generation skilled at elevations of 30 or 50 meters. Since air conditioning methods utilize plenty power in the vacation, the wind power density is specifically appealing in the middle region of the Arabian Gulf (Saudi Arabia, Bahrain, and Qatar).

Author(s) Details:

Khaled Al-Salem,
Coastal Management Program, Environment and Life Sciences Research Center, Kuwait.

S. Neelamani,
Coastal Management Program, Environment and Life Sciences Research Center, Kuwait.

Waleed Al-Nassar,
Renewable Energy Program, Energy and Building Research Centre, Kuwait.

Please see the link here: https://stm.bookpi.org/NPGEES-V9/article/view/11630

An EPQ Model with Weibull Distribution Deterioration and Exponential Demand under Permissible Delay in Payments | Chapter 08 | Recent Recent Advances in Mathematical Research and Computer Science Vol. 8

 We constantly fix both the demand amount and the output quantity every day in order to solve the economic production quantity (EPQ). However, in the actual world, output is largely based on demand. This work develops a production model for a lot-size inventory system with limited production rate, taking into account decay and the condition of allowable payment delay. If the outstanding amount is paid within the allowed predetermined settlement period, no interest is usually levied. As a result, it makes financial sense for the client to postpone the settlement of the replenishment account until the very last instant of the supplier's authorised time. Shortages are allowed and fully backordered in this model. The goal of this study is to look at an EPQ model that has Weibull distribution deterioration and assumes an exponential demand rate. Production is based on demand in this case. The goal of this research is to look into a possible computing scheme for the EPQ. A numerical example is used to demonstrate the model.

Author(S) Details

S. Sarkar
Department of Basic Science, NSHM Knowledge Campus Durgapur, India

T. Chakrabarti
Department of Applied Mathematics, University of Calcutta, 92, APC Road, Kolkata-700009, India.

View Book:- https://stm.bookpi.org/RAMRCS-V8/article/view/5748

Development of Novel Based Prolog Programming for Mean Wind Speed & Weibull Distribution at Hiregudda, Karanataka, India | Chapter 1 | Recent Advances in Mathematical Research and Computer Science Vol. 1

 

This paper's main purpose is to calculate annual mean wind speeds at 10 m, 30 m, and 50 m. The annual mean wind speed is estimated from wind data obtained from measurements at Hiregudda, Bagalkot district, Karnataka state, South India, from 2006 to 2010. Cup generator anemometers are used to measure wind speed, and the rotating speed (frequency) of the cups is related to the wind speed. Wind speed was measured at heights of 10 m, 30 m, and 50 m above ground level using three cup anemometers connected to booms on a 50 m lattice met tower. The ten-minute recording interval was chosen. The findings of mean wind speed data are the first step in predicting wind speed data at the location in question, and to determine the site's yearly mean wind speed data, a PROLOG programme was conceived and constructed. The statistical wind data set was further analysed using Weibull distributions in order to explore the Weibull shape and scale characteristics.

 

Author (S) Details

K. Mahesh
EEE Department, Sir MVIT, Bengaluru, India.

View Book :- https://stm.bookpi.org/RAMRCS-V1/article/view/4331