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 causal model Modeling causality Correlation and Causality central limit theorem Central Limit Theorem Challenger disaster Correlation - Challenger disaster chance correlation Chance 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 chi-square distribution Chi-Square Distribution chi-square test One Sample Chi-Square-Test Chi-Square Test city block distance Distance and Similarity Measures 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 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 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 complementary events Complementary Sets and Subsets conditional probability Bayesian Rule Conditional Probability Independent Events confidence interval MLR - Analysis of Variance Confidence Interval of the Mean Regression - Confidence Interval MLR - Estimation of New Observations confounded variables Confounded Variables 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 Copyright 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 correlation coefficient Correlation Pearson's Correlation Coefficient Distribution of the Correlation Coefficient Spearman's Rank Correlation Test: Correlation Coefficient correlation matrix Scatter, Covariance, and Correlation Matrix PCA - Different Forms Cosinus-Glockenfenster Fensterfunktionen in der FFT counting rules Counting Rules covariance Covariance covariance matrix Scatter, Covariance, and Correlation Matrix PCA - Different Forms cross-validation Cross-Validation Validation of Models cumulative frequency distribution Cumulative Frequency Distribution 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

Last Update: 2012-10-08