Providing a probabilistic framework and a wide cross-section on statistical techniques, this new volume provides a comprehensive presentation of fundamental probabilistic and statistical theory with a heavy emphasis on contemporary modelling and application. The text recognizes the crucial role of probability theory in relevant contemporary applications, covers operating characteristics curves, places strong emphasis on modelling and application, considers the principles of experimental design, and grounds the methods in a coherent theory that your students can understand. There is an appendix on computer software, and discussions of important probability distributions, including the binomia, normal and gamma distributions.
Sprache
Verlagsort
Verlagsgruppe
Pearson Education Limited
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 253 mm
Breite: 204 mm
Gewicht
ISBN-13
978-0-13-715913-0 (9780137159130)
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Schweitzer Klassifikation
Autor*in
Rochester Institute of Technology, USA
Interpretation and description of data; probability theory; probability distributions; important probability distributions; multivariate distributions; topics in applied probability; estimation; hypothesis tests concerning a single parameter; inferences concerning two parameters; hypothesis tests conforming categorical data; analysis of variance; simple linear regression; multiple linear regression; experimental design. Appendices.