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Mathematical statistics --- Statistical tolerance regions --- Distribution (Probability theory) --- Distribution (Théorie des probabilités) --- 519.233 --- Tolerance regions, Statistical --- Confidence intervals --- Sampling (Statistics) --- Statistical hypothesis testing --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Parametric methods --- Statistical tolerance regions. --- Distribution (Probability theory). --- 519.233 Parametric methods --- Zones de tolérance (Statistique) --- Zones de tolérance (Statistique) --- Distribution (Théorie des probabilités) --- Statistique mathématique --- Statistique mathématique
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Analysis of variance - ANOVA - constitutes the main set of statistical methods through which undergraduate and postgraduate students carry out multivariate analysis. This textbook adopts an innovative approach to ANOVA, placing emphasis on confidence intervals rather than tests of significance.
Mathematical statistics --- Analysis of variance. --- Confidence intervals. --- Confidence limits --- Confidence regions --- Intervals, Confidence --- Limits, Confidence --- Regions, Confidence --- Sampling (Statistics) --- Statistical hypothesis testing --- Statistical tolerance regions --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design
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Regression Analysis --- Confidence intervals --- Regression analysis --- Confidence limits --- Confidence regions --- Intervals, Confidence --- Limits, Confidence --- Regions, Confidence --- Sampling (Statistics) --- Statistical hypothesis testing --- Statistical tolerance regions --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling
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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
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Mathematical statistics --- Social sciences --- Confidence intervals. --- Sciences sociales --- Intervalles de confiance --- Statistical methods. --- Mathematics. --- Méthodes statistiques --- Mathématiques --- Confidence intervals --- #PBIB:2003.3 --- #SBIB:303H10 --- #SBIB:303H510 --- Confidence limits --- Confidence regions --- Intervals, Confidence --- Limits, Confidence --- Regions, Confidence --- Sampling (Statistics) --- Statistical hypothesis testing --- Statistical tolerance regions --- Mathematics --- Statistical methods --- Methoden en technieken: algemene handboeken en reeksen --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Social sciences - Statistical methods --- Social sciences - Mathematics
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Confidence intervals --- Sequential analysis --- Statistical hypothesis testing --- Intervalles de confiance --- Dualité, théorie de la (Mathématiques) --- Tests d'hypothèses (Statistique) --- 519.244 --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Mathematical statistics --- Statistical decision --- Confidence limits --- Confidence regions --- Intervals, Confidence --- Limits, Confidence --- Regions, Confidence --- Sampling (Statistics) --- Statistical tolerance regions --- Sequential methods. Optimal stopping. Cusum technique (cumulative sum technique) --- Confidence intervals. --- Sequential analysis. --- Statistical hypothesis testing. --- 519.244 Sequential methods. Optimal stopping. Cusum technique (cumulative sum technique) --- Dualité, théorie de la (Mathématiques) --- Tests d'hypothèses (Statistique)
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This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines.Accompanying the book is the Exploratory Software for Confidence Interval
Psychology, Experimental --- Multivariate analysis. --- Confidence intervals. --- Psychologie expérimentale --- Analyse multivariée --- Intervalles de confiance --- Statistical methods --- Méthodes statistiques --- Multivariate analysis --- Confidence intervals --- Statistique --- Méta-analyse --- Statistical methods. --- #SBIB:303H510 --- 303 --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Methoden bij sociaalwetenschappelijk onderzoek --- Statistiek --- The new statistics --- Psychology, Experimental. --- Multivariate Analysis. --- Confidence Intervals. --- 303 Methoden bij sociaalwetenschappelijk onderzoek --- Statistiek. --- The new statistics. --- Quantitative methods in social research --- Mathematical statistics --- Psychologie expérimentale --- Analyse multivariée --- Méthodes statistiques --- Experimental psychology --- Psychology --- Experimental psychologists --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Confidence limits --- Confidence regions --- Intervals, Confidence --- Limits, Confidence --- Regions, Confidence --- Sampling (Statistics) --- Statistical hypothesis testing --- Statistical tolerance regions --- Research --- Experiments --- Statistique. --- Méta-analyse. --- Sozialwissenschaften. --- Statistik. --- Psychology, Experimental - Statistical methods
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