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Applications of Statistical Analysis in Multidisciplinary Field (Volume - 1)


Editor
Dr. Neha Munjal
Dr. Neha Munjal
Assistant Professor, Department of Physics Lovely Professional University, Punjab, India
Co-editor
Dr. Uma Kamboj
Dr. Uma Kamboj
Assistant Professor & Academia Industry Interface Coordinator Department of Physics, School of Sciences, LFTS Lovely Professional University Phagwara, Punjab, India
About Book
Applications of Statistical Analysis in Multidisciplinary Field explores the diverse ways in which statistical methods are applied across various domains, from healthcare and environmental sciences to economics and engineering. The book offers a thorough understanding of how statistical tools, such as regression analysis, hypothesis testing, and data visualization, are used to interpret complex data, make informed decisions, and solve real-world problems. Through case studies and practical examples, it demonstrates the role of statistical analysis in enhancing research outcomes and driving advancements in multidisciplinary fields. This resource is invaluable for researchers, practitioners, and students seeking to leverage statistical methods to tackle challenges in a wide range of sectors.
Scope
Statistical analysis is one of the fundamental aspects as is used in almost all the disciples from arts to medical line. It is widely used by researchers in management, agriculture, pharmacy, public health, medical science, biology, biotechnology
Guidelines
Download author guidelines: Click Here
Deadline
25 Nov 2025
Publication Fee
  • E-Chapter Publication: Rs. 1,300 (For foreign Authors: US$ 30).
    E-Book chapter Benefits: ISBN, DOI, Publication Certificate and Acceptance Letter to each author.
  • Optional: If you require a printed version of your book chapter: Available at an additional ₹500. Per copy of the complete book, including postal charges.
    If you need a hard copy along with the e-chapter publication, the total cost will be ₹1,800 (For foreign Authors: US$ 50).
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Applications of Statistical Analysis in Multidisciplinary Field

Crossref DOI Prefix: 10.63258
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