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Practitioners of many skills face the need to make some realistic statement about the likely outcome of a future 'experiment of interest' on the basis of observed variability of outcomes in previously conducted related experiments. In this book the authors provide the predictor with the data and formulae which will assist in accurate forecasting, and suggest that an effective answer is to be found in the concept of predictive distribution within the framework of statistical prediction analysis. An applied mathematical approach is adopted throughout and the book is aimed at readers with some statistical knowledge, final year undergraduates, numerate scientists, technologists and medical workers interested in predictive techniques.

Mathematical statistics --- Prediction theory --- Statistical tolerance regions --- Prévision, Théorie de la --- 519.246 --- #WWIS:STAT --- 10.02.b --- Forecasting theory --- Stochastic processes --- Tolerance regions, Statistical --- Confidence intervals --- Distribution (Probability theory) --- Sampling (Statistics) --- Statistical hypothesis testing --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistieken ; Wiskundige statistiek --- Prediction theory. --- Statistical tolerance regions. --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Zones de tolérance (Statistique) --- Prévision, Théorie de la --- Zones de tolérance (Statistique) --- Prévision, Théorie de la. --- Statistique mathématique --- Mathematical Sciences --- Probability