Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. ## Index C...

 c-chart p- and c-Charts calculation of quartiles Quartile calibration Calibration Classification vs. Calibration Multivariate Calibration calibration function Definitions of Quality Control Cauchy distribution Cauchy Distribution causal model Modeling causality Correlation and Causality censored data Censored Data central limit theorem Central Limit Theorem central tendency Measures of Location Challenger disaster Correlation - Challenger disaster chance correlation Spurious Correlation Exercise - Chance Correlation characteristical equation Eigenvectors and Eigenvalues - Advanced Discussion charts Graphing Standards Chebyshev's theorem Chebyshev's Theorem chemical structures Exercise - Estimation of Boiling Points from Chemical Structure Exercise - Estimation of Henry's Constant from Chemical Structure Exercise - The Effect of Collinear Variables on MLR Models chemometrics Literature References - Chemometrics Chemometrics - Introduction Chemometrics - Topics and Methods chi-square distribution Chi-Square Distribution chi-square test Test for Normality One Sample Chi-Square-Test Chi-Square Test city block distance Distance and Similarity Measures class information Class Information class width Histogram classification Classification vs. Calibration Discrimination and Classification KNN classification Literature References - Cluster Analysis, Classification Exercise - Classification of unknown wine samples by PCA classification table Classifier Performance classifier Classifier Performance cluster analysis Agglomerative Clustering Cluster Analysis Literature References - Cluster Analysis, Classification Exercise - Similar Mineral Waters k-Means Clustering coefficient of determination Regression - Coefficient of Determination Coefficient of Determination and MLR coefficient of variation Coefficient of Variation coefficients, Savitzky-Golay Savitzky-Golay Filter - Coefficients coins Data Set - Weights of Coins collinear variables Exercise - The Effect of Collinear Variables on MLR Models collinearity MLR and Collinearity Variance Inflation Factor combination Counting Rules combination of distributions Combination of Several Distributions common questions on ANNs Common Questions about ANNs communicating tubes Mean commutative law Calculating with Sets comparing means One-Sample t-Test - Large Samples Comparing means comparison of distributions QQ Plot complementary events Complementary Sets and Subsets concordant pairs Goodman and Kruskal's Gamma conditional probability Bayesian Rule Conditional Probability Independent Events confidence coefficient Confidence Interval confidence interval MLR - Analysis of Variance Confidence Interval of the Mean Regression - Confidence Interval MLR - Estimation of New Observations Confidence Interval confounded variables Confounded Variables confusion matrix Classifier Performance contingency coefficient Contingency Coefficient contingency table Contingency Table continuous random variable Random Variable continuous uniform distribution Continuous Uniform Distribution control charts Control Charts p- and c-Charts x- and R-Charts convolution Convolution - Introduction Convolution - Mathematical Details Filters - Mathematical Background Convolution - Calculation Rules copyright Editorial corrected contingency coefficient Contingency Coefficient correlated residuals Uncorrelated Residuals - Durbin-Watson Test correlation Convolution - Mathematical Details Correlation Autocorrelation Correlation and Causality Correlation - Challenger disaster Pearson's Correlation Coefficient Distribution of the Correlation Coefficient Examples of Correlations Covariance Scatter, Covariance, and Correlation Matrix Test: Correlation Coefficient Exercise - Design a data set with predefined correlations Goodman and Kruskal's Gamma correlation coefficient Correlation Pearson's Correlation Coefficient Distribution of the Correlation Coefficient Spearman's Rank Correlation Test: Correlation Coefficient Measures of Association - an Overview correlation matrix Scatter, Covariance, and Correlation Matrix PCA - Different Forms correlation table Contingency Table cosine window Windowing Function and FFT counting rules Counting Rules covariance Covariance covariance matrix Scatter, Covariance, and Correlation Matrix PCA - Different Forms Cramér-von-Mises test Test for Normality cross tabulation Contingency Table cross validation Cross Validation Validation of Models cumulative frequency distribution Cumulative Frequency Distribution curse of dimensionality Phase Space curve fitting Literature References - Curve Fitting and Function Approximation Exercise - Calculate a polynomial fit by means of MLR Curve Fitting by Splines Curve Fitting Curve Fitting by Polynomials curvilinear regression Curvilinear Regression Regression after Linearisation cycle time Fourier Series