A Course in Mathematical Statistics for M.Sc
- Publisher: ILMI KITAB KAHANA
- Availability: In Stock
- SKU: 10856
- Number of Pages: 755
Rs.525.00
Rs.575.00
Tags: Abdul Samad Hirai ILMI publication , academic statistics reference , advanced probability and statistics , black and white statistics book , BSc MSc statistics guide , competitive exam statistics book , estimation theory textbook , higher education statistics , hypothesis testing book Pakistan , ILMI postgraduate mathematics book , ILMI statistics book , inferential statistics for students , M.Sc. statistics textbook , mathematical distributions book , Mathematical statistics Abdul Samad Hirai , mathematical statistics Pakistan , postgraduate statistics guide , research methods in statistics , solved examples statistics , statistical inference M.Sc. level , statistical modeling textbook , statistics for MPhil students , statistics for research work , statistics textbook for scholars , theoretical statistics guide , university level statistics book
A Course in Mathematical Statistics for M.Sc. and Research Students
Author: Prof. Abdul Samad Hirai
Binding: Paperback
Category: Statistics / Mathematics / Higher Education
Recommended For: M.Sc. students, M.Phil. scholars, research candidates in statistics and mathematics, and candidates preparing for competitive and academic exams.
Key Points
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Advanced Statistical Concepts – Covers in-depth topics such as probability distributions, estimation theory, hypothesis testing, and inferential statistics.
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Tailored for Higher Studies – Specially designed to meet the needs of postgraduate and research-level students.
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Theoretical and Practical Balance – Provides mathematical derivations along with practical examples to develop analytical understanding.
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Exam-Oriented Structure – Includes university-level solved problems and past paper trends for comprehensive preparation.
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ILMI Trusted Publication – Recognized textbook among Pakistani universities for its clarity, depth, and academic relevance.
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Foundation for Research Work – Builds a strong foundation for statistical modeling and analytical work in academic research.
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