Probability & Statistics for Engineers & Scientists - 9th Ed. (WALPOLE|MYERS|MYERS|YE)
Descriptive statistics
Exploratory data analysis
Sample space
Discrete probability
Independent events
Bayes theorem
Random variables and distribution functions (univariate and multivariate)
Expectation and moments
Independent random variables
Marginal and conditional distributions
Characteristic functions
Probability inequalities (Tchebyshef, Markov, Jensen)
Modes of convergence
Weak and strong laws of large numbers
Central Limit theorems (i.i.d. case)
Markov chains with finite and countable state space
Classification of states
Limiting behaviour of n-step transition probabilities
Stationary distribution
Poisson and birth-and-death processes
Standard discrete and continuous univariate distributions
Sampling distributions
Standard errors and asymptotic distributions
Distribution of order statistics and range
Methods of estimation
Properties of estimators
Confidence intervals
Tests of hypotheses
Most powerful and uniformly most powerful tests
Likelihood ratio tests
Analysis of discrete data and chi-square test of goodness of fit
Large sample tests
Simple nonparametric tests for one and two sample problems
Rank correlation and test for independence
Elementary Bayesian inference
Gauss-Markov models
Estimability of parameters
Best linear unbiased estimators
Confidence intervals
Tests for linear hypotheses
Analysis of variance and covariance
Fixed, random and mixed effects models
Simple and multiple linear regression
Elementary regression diagnostics
Logistic regression
Multivariate normal distribution
Wishart distribution and their properties
Distribution of quadratic forms
Inference for parameters
Partial and multiple correlation coefficients and related tests
Data reduction techniques
Principle component analysis
Discriminant analysis
Cluster analysis
Canonical correlation
Simple random sampling
Stratified sampling and systematic sampling
Probability proportional to size sampling
Ratio and regression methods
Completely randomized designs
Randomized block designs and Latin-square designs
Connectedness and orthogonality of block designs
BIBD
2 K factorial experiments: confounding and construction
Hazard function and failure rates
Censoring and life testing
Series and parallel systems
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