The Data Analysis BriefBook

The Data Analysis BriefBook

This BriefBook is a much extended glossary or a much condensed handbook, depending on the way one looks at it. In encyclopedic format, it covers subjects in statistics, computing, analysis, and related fields, resulting in a book that is both an introduction and a reference for scientists and engineers, especially experimental physicists dealing with data analysis.

Contents

  • Algebraic Computation
  • Aliasing
  • Amdahl’s Law
  • Analysis of Variance
  • ANOVA
  • Attenuation
  • Autocorrelation
  • Average
  • Bandwidth
  • Baud
  • Bayes Theorem
  • Bayesian Statistics
  • Benchmarking
  • Beta Distribution
  • Bias
  • Biased Sampling
  • Binning
  • Binomial Distribution
  • Bivariate Normal Distribution
  • Boolean Algebra
  • Bootstrap
  • Breit-Wigner Distribution
  • Brent’s Method
  • Cauchy Distribution
  • Cellular Automata
  • Central Limit Theorem
  • Centroid
  • Chebyshev Norm
  • Chebyshev Polynomials
  • Chi-Square Distribution
  • Chi-Square Test
  • Cholesky Decomposition
  • Clipping
  • Composite Hypothesis
  • Confidence Level
  • Constraints
  • Convolution
  • Coordinate Systems
  • Correlation Coefficient
  • Cost of Test
  • Covariance
  • Covariance Ellipse
  • Cramer-Rao Inequality
  • Cramer-Smirnov-Von-Mises Test
  • Cramer’s Rule
  • Curtosis
  • Cylindrical Coordinates
  • Database
  • Data Compression
  • Data Structures
  • Decibel
  • Decision Boundary
  • Decision Quality Diagram
  • Deconvolution
  • Degrees of Freedom
  • Delta Function
  • Derivative Matrix
  • Differentiation
  • Dirac Delta Function
  • Discrete Cosine Transform
  • Discriminant Analysis
  • Discriminant Function
  • Dispersion Matrix
  • Distance Function
  • Distribution
  • Dynamic Range
  • Eigenvalue Problems
  • Entropy
  • Error Ellipse
  • Error Function
  • Error Propagation
  • Errors, General Classification
  • Errors, Quadratic Addition
  • Estimator
  • Euler Angles
  • Expectation Value
  • Exponential Distribution
  • Extrapolation to the Limit
  • F Distribution
  • F Test
  • Factor Analysis
  • Fast Transforms
  • Feature Extraction
  • FIFO
  • Filtering
  • Finite Difference Method
  • Finite Element Method
  • Finite State Machine
  • Fitting
  • Folding
  • Fourier Transform
  • Fractile
  • Full Width at Half Maximum
  • Gabor Filter
  • Gamma Function
  • Gauss-Jordan Elimination
  • Gauss-Markov Theorem
  • Gauss-Seidel Iteration
  • Gaussian Distribution
  • Gaussian Elimination
  • Gaussian Quadrature
  • Genetic Algorithms
  • Geometric Mean
  • Geometrical Transformations
  • Givens Rotation
  • Global Correlation Coefficient
  • Global Image Operations
  • Goodness-of-fit Test
  • Gradient
  • Gram-Schmidt Decomposition
  • Graph Theory
  • Haar Transform
  • Hamming Distance
  • Harmonic Mean
  • Hash Function
  • Heaviside Function
  • Hessian
  • Histogram
  • Horner’s Rule
  • Hot Spot
  • Hough Transform
  • Householder Transformation
  • Huffman Coding
  • Hypothesis Testing
  • Ideogram
  • Image Enhancement
  • Image Processing
  • Image Recognition
  • Image Restoration
  • Image Segmentation
  • Importance Sampling
  • Interpolation
  • Jackknife
  • Jacobi Determinant
  • Jacobi Iteration
  • Jacobi Matrix
  • Jacobian
  • Jacobian Peak
  • Jitter
  • Kalman Filter
  • Karhunen-Loeve Transform
  • Kolmogorov Test
  • Korobov Sequences
  • Kronecker Delta
  • Kurtosis
  • Lagrange Multipliers
  • Landau Distribution
  • Laplace Transform
  • Least Squares
  • Least Squares, Linear
  • Left-handed Coordinate System
  • Likelihood
  • Linear Algebra Packages
  • Linear Equations
  • Linear Equations, Iterative Solutions
  • Linear Programming
  • Linear Regression
  • Linear Shift-invariant Systems
  • LU Decomposition
  • Marginal Distribution
  • Markov Chain
  • Matrix Operations
  • Matrix Operations, Complex
  • Maximum Likelihood Method
  • Mean
  • Median
  • Median Filter
  • Metric
  • Metropolis Algorithm
  • MFLOPS
  • Minimax Approximation
  • Minimization
  • MIPS
  • Mode
  • Moment
  • Monte Carlo Methods
  • Morphological Operations
  • Multinomial Distribution
  • Multivariate Normal Distribution
  • Neural Networks
  • Neville Algorithm
  • Newton-Raphson Method
  • Newton’s Rule
  • Neyman-Pearson Diagram
  • Noise
  • Norm
  • Normal Distribution
  • Normal Equations
  • Numerical Differentiation
  • Numerical Integration
  • Numerical Integration of ODE
  • Numerical Integration, Quadrature
  • Numerov’s Method
  • Object-oriented Programming
  • Optimization
  • Orthogonal Functions
  • Orthogonal Matrices
  • Orthogonal Polynomials
  • Orthonormal
  • Outlier
  • Overdetermined Systems
  • Pade Approximation
  • Parallel Processing
  • Penalty Function
  • Petri Nets
  • Point Spread Function
  • Poisson Distribution
  • Polar Coordinates
  • Polynomials
  • Population
  • Positivity
  • Power of Test
  • Predictor-Corrector Methods
  • Principal Component Analysis
  • Probability
  • Probability Calculus
  • Probability Density Function
  • Protocol
  • Pseudoinverse
  • Pseudorandom Numbers
  • Pull Value
  • Purity of Test
  • QR Decomposition
  • Quadrature
  • Quantile
  • Quantization
  • Quasirandom Numbers
  • Radius of Curvature
  • Radon Transform
  • Random Numbers
  • Random Numbers, Correlated
  • Random Variable
  • Rank Filter
  • Recursion
  • Regression Analysis
  • Regularization
  • Relaxation
  • Resampling
  • Residuals
  • Right-handed Coordinate System
  • Rms Error
  • Robustness
  • Rotations
  • Runge-Kutta Methods
  • Runs
  • Runs Test
  • Saddle Point
  • Sagitta
  • Sample
  • Sample Mean, Sample Variance
  • Sampling from a Probability Density Function
  • Sampling Theorem
  • Scalar Product
  • Scatter Diagram
  • Schwarz Inequality
  • Shaping
  • Sharpening
  • Sigmoid Function
  • Signal Processing
  • Significance of Test
  • Simplex Method
  • Simpson’s Rule
  • Simulated Annealing
  • Singular Value Decomposition
  • Skewness
  • Small Samples
  • Smoothing
  • Software Engineering
  • Sorting
  • Spherical Coordinates
  • Spline Functions
  • Stack
  • Standard Deviation
  • Statistic
  • Stirling’s Formula
  • Stratified Sampling
  • Structured Programming
  • Student’s Distribution
  • Student’s Test
  • Successive Over-Relaxation
  • T-Distribution, T-Test
  • Template Matching
  • Thresholding
  • Training Sample
  • Transformation of Random Variables
  • Trimming
  • Truly Random Numbers
  • Tuple
  • Type-I Error
  • Unfolding
  • Uniform Distribution
  • Validation Sample
  • Variance
  • Wavelet Transform
  • Weighted Mean
  • Width
  • Winsorization
  • Zero Suppression

Book Details

Author(s): R.K. Bock, W. Krischer
Publisher: Springer
Format(s): HTML
Number of pages: 195
Link: Read online.







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