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

Index

Editorial Introduction Basic Concepts General Processing Steps Univariate Data Statistical Tests Bivariate Data Correlation Regression Smoothing Curve Fitting Time Series Introduction Signals as Time Series Time Dependence of Data Trends Time and Frequency Fourier Transformation Filtering Signals Filtering in the Frequency Domain Filters - Mathematical Background Models for Time Series Model Building ARIMA Models Establishing ARIMA models Neural Network Models Forecasting Calibration Multivariate Data Math Background Exercises Appendix