Probability and Statistics eBooks Collection
English | Size: 620.43 MB
Category: e-Books
A Primer of Multivariate Statistics
A Tutorial on Bayesian Estimation and Tracking Applicable to Nonlinear and Non-Gaussian Processes
Advanced Calculus with Applications in Statistics
An Introduction to Continuity, Extrema, and Related Topics for General Gaussian Processes
An Introduction to Stochastic Processes in Physics
An Introduction to the Theory of Point Processes
Analysis of Messy Data – Volume III – Analysis of Covariance
Applied Bayesian Modelling
Applied Linear Regression
Applied Optimal Designs
Applied Optimal Estimation
Applied Probability
Applying Generalized Linear Models
Bayesian Spectrum Analysis and Parameter Estimation
Common Errors in Statistics (& How to Avoid Them)
Detection Theory – A Users Guide
Detection, Estimation, and Modulation Theory I
Detection, Estimation, and Modulation Theory III – Radar and Sonar Signal Proces
sing and Gaussian Signals in Noise
Entropy and Information Theory
Essence Of Multivariate Thinking – Basic Themes And Methods
Estimation with Applications to Tracking & Navigation
Exploratory Factor Analysis
Fitting Statistical Distributions – The Generalized Lambda Distribution and Generalized Bootstrap Methods
Foundations of Modern Probability
Fundamentals of Probability and Statistics for Engineers
Generalized Least Squares
Handbook of Parametric and Nonparametric Statistical Procedures
Independent Component Analysis
Introduction to Bayesian Statistics
Introduction to Probability – Solutions Manual
Introduction to Probability
Introduction to Statistical Inference and Data Analysis
Learning Kernel Classifiers – Theory and Algorithms
Lecture Notes on Probability Theory and Random Processes
Linear Models – Least Squares and Alternatives
Local Regression and Likelihood
Markov Chains and Stochastic Stability
Markov Decision Processes
Mathematical Analysis for Modeling
Mathematical Statistics
Measuring Risk in Complex Stochastic Systems
Methods of Multivariate Analysis
Multiresolution Methods in Scattered Data Modelling
Multivariate Bayesian Statistics
Noncommutative Statioary Processes
Nonlinear Regression Analysis and Its Applications
Optical_Detection_Theory_for_Laser_Applications__2002_
Orthogonal Arrays – Theory and Applications
Partially Linear Models
Pattern Classification
Pattern Recognition – Concepts, Methods And Applications
Pattern Recognition
Principles of Mathematical Analysis
Probability for Statisticians
Probability, Random Processes, and Ergodic Properties
Probability, Random Variables And Random Processes – Mcgraw Hill
Probability, Random Variables, and Random Signal Principles
Quasi-Likelihood and its Application – A General Approach to Optimal Parameter Estimation
Queueing Networks & Markov Chains
Research Design and Statistical Analysis
Simulation Modeling Handbook
Standard Probability and Statistic Tables and Formulae
Statistical Mathematics
Statistical Pattern Recognition
Stochastic Integration with Jumps
Stochastic Processes – Estimation, Optimization and Analysis
Supervised and Unsupervised Pattern Recognition
The Elements of Statistical Learning
The Probabilistic Method
Theory of Multivariate Statistics
Uncertainty and Information – Foundations of Generalized Information Theory
Wavelets, Approximation and Statistical Applications
Well-Posed Linear Systems
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