Applied Statistics

Discover the best applied statistics books with our curated reading list—featuring essential titles and expert authors to master real-world data analysis, statistical modeling, and practical techniques. Perfect for students, researchers, and professionals seeking in-depth, application-focused resources.

applied books statistics

Schaum's outline of theory and problems of linear algebra. Cover

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Schaum's outline of theory and problems of linear algebra.

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Schaum's outline of theory and problems of matrix operations Cover

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Schaum's outline of theory and problems of matrix operations

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Schaum's Outline of Statistics (Schaum's Outlines) Cover

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Schaum's Outline of Statistics (Schaum's Outlines)

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Schaum's outline of theory and problems of discrete mathematics Cover

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Schaum's outline of theory and problems of discrete mathematics

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Probability and Random Processes Cover

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Probability and Random Processes

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Mathematical methods and algorithms for signal processing Cover

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Mathematical methods and algorithms for signal processing

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Statistical signal processing Cover

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Statistical signal processing

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Fundamentals of statistical signal processing Cover

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Fundamentals of statistical signal processing

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Fundamentals of statistical signal processing Cover

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Fundamentals of statistical signal processing

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Detection, estimation, and modulation theory Cover

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Detection, estimation, and modulation theory

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Spectral Analysis of Signals Cover

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Spectral Analysis of Signals

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Adaptive Filters Cover

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Adaptive Filters

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A wavelet tour of signal processing Cover

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A wavelet tour of signal processing

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Real analysis Cover

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Real analysis

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Introductory functional analysis with applications Cover

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Introductory functional analysis with applications

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A probability path Cover

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A probability path

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Statistical Inference Cover

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Statistical Inference

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Theory of point estimation. Cover

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Theory of point estimation.

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Pattern classification Cover

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Pattern classification

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Pattern Recognition and Machine Learning (Information Science and Statistics) Cover

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Pattern Recognition and Machine Learning (Information Science and Statistics)

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Introduction to the design & analysis of algorithms Cover

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Introduction to the design & analysis of algorithms

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Elements of information theory Cover

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Elements of information theory

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All of Statistics Cover

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All of Statistics

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Array signal processing Cover

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Array signal processing

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