Statistical Inference: (Book Series P-21/24) (Mastering Mathematical Sciences : Complete 24-Book Series for CSIR NET, JRF, GATE, SET & Ph.D. Entrance Exams)
Format:
Hardcover
En stock
0.43 kg
Sí
Nuevo
Amazon
USA
- Statistical inference is a core pillar of modern data science and mathematical analysis, connecting theory with real-world application in research, technology, and industry. This book, part of the P Series for CSIR NET (JRF) preparation, is designed to build a strong foundation in inference techniques through clear explanations, practical examples, and targeted practice.📘 What you'll learn:📊 Sampling Distributions: Understanding discrete and continuous distributions, standard errors, and behavior of estimators.🧮 Estimation Methods: Covers point estimation, properties like unbiasedness, consistency, and efficiency, plus confidence intervals.🔍 Hypothesis Testing: Formulating and testing hypotheses, with focus on most powerful tests and likelihood ratio methods.📈 Categorical Data Analysis: Includes chi-square tests for goodness-of-fit and large sample tests for proportions and counts.📝 Practice-focused Design:100+ Multiple Choice Questions (MCQs) with explanationsConceptual and exam-oriented problem setsExamples crafted to mirror CSIR NET-style questionsThis book is ideal for aspirants aiming to master statistical inference for competitive exams, with a clear, modern approach that supports both deep understanding and effective revision.
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