Distribution theory principles and applications

Descriptive statistics : principles and applications / Fozia Homa, Mohd. Arshad, Vijay Kumar, Shubham Thakur, and Pradeep Mishra -- Random variables and its properties / Vijay Kumar, Mukti Khetan, Mohd. Arshad, and Shweta Dixit -- Discrete distributions / Mukti Khetan, Vijay Kumar, Mohd. Arshad, and...

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Weitere Verfasser:	Homa, Fozia (HerausgeberIn), Khetan, Mukti (HerausgeberIn), Arshad, Mohd (HerausgeberIn), Mishra, Pradeep (HerausgeberIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Palm Bay, FL, Burlington, ON Apple Academic Press 2024
Ausgabe:	First edition
Schlagworte:	Distribution (Probability theory) > Mathematical statistics > Data processing > Zufallsvariable > Stetige Verteilung > Diskrete Wahrscheinlichkeitsverteilung > Weibull-Verteilung > Datenanalyse > Python
Online Zugang:	Inhaltsverzeichnis
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Zusammenfassung:	Descriptive statistics : principles and applications / Fozia Homa, Mohd. Arshad, Vijay Kumar, Shubham Thakur, and Pradeep Mishra -- Random variables and its properties / Vijay Kumar, Mukti Khetan, Mohd. Arshad, and Shweta Dixit -- Discrete distributions / Mukti Khetan, Vijay Kumar, Mohd. Arshad, and Prashant Verma -- Continuous distributions / Shweta Dixit, Mukti Khetan, Mohd. Arshad, Prashant Verma, and Ashok Kumar Pathak -- Family of Weibull distributions / Mohd. Arshad, Vijay Kumar, Mukti Khetan, and Fozia Homa -- Life distributions / Mohd. Arshad, Mukti Khetan, Vijay Kumar, and Fozia Homa -- Dynamics of data analysis and visualization with Python / Prashant Verma, Shweta Dixit, Mukti Khetan, Suresh Badarla, and Fozia Homa. "This book aims to provide a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation. The volume provides a detailed concept of different distributions used in statistics with their application in real-life situations. Covering the analytical aspects using the latest software, the volume discusses stochastic methods and other statistical methods. It provides statistical data analysis by taking multiple actual situations using the open-source software R version 4.0 and Python 3.0+. A detailed study of the statistical models is provided with examples related to health, agriculture, insurance, and other sectors. Each chapter will help you to increase your knowledge starting from basic statistics to advanced statistics. Key features: Discusses the importance of probability in the field of applied statistics and its importance in day-to-day life Discusses methods for graphical representations and summary statistics with the help of numerous examples related to actual situations Considers which distribution theories should be applied in different situations Shows how to handle real-life problems related to probability Introduces different ways of data handling using various software"--
Beschreibung:	Literaturangaben
Beschreibung:	xvi, 249 Seiten Illustrationen, Diagramme
ISBN:	9781774912140 978-1-77491-214-0 9781774912157 978-1-77491-215-7