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SEM um Kunden die verfügbaren Möglichkeiten aufzuzeigen Diese Bilder stellen einen wesentlichen Teil eines Onlineshops dar wird Front Office oder Front End genannt da Ihren Besuchern die großen Bilder als erstes ins Auge springen und Schlange Ladentresen Einkaufstätigkeit teuer Tables. B.- Appendix Problems.- Selected to Answers A.- Appendix Hypothesis.- True a Testing 16.5* Distributions.- Predictive from Inferences 16.4* Prediction.- 16.3* Methods.- Bayesian 16.2* Argument.- Fiducial The 16.1* Inference.- Statistical in Topics 16 Tests.- Conditional of Examples Some 15.6 Hypotheses.- Composite for Tests Conditional 15.5 Set.- Reference the Choosing 15.4 Probabilities.- Coverage and Levels Significance Exact 15.3 Statistics.- Sufficient of Properties 15.2 Principle.- Sufficiency The 15.1 Tests.- Conditional and Statistics Sufficient 15 Derivations.- 14.6* Model.- the Checking 14.5 Intervals.- Confidence and Tests on More 14.4 Models.- Linear in Hypotheses Testing 14.3 Estimates.- Parameter 14.2 Notation.- Matrix 14.1 Models.- Linear Normal 14 Problems.- Review Measurements.- Paired of Analysis 13.7 (Continued).- Model Line Straight The 13.6 Model.- Line Straight The 13.5 Model.- Two-Sample The 13.4 Model.- One-Sample The 13.3 Methods.- Statistical 13.2 Introduction.- 13.1 Measurements.- Normal of Analysis 13 Power.- 12.10* Regions.- Significance 12.9 Homogeneity.- Marginal for Testing 12.8 Effect.- and Cause 12.7 Tables.- Contingency in Independence for Tests 12.6 Probabilities.- Multinomial for Tests 12.5 Probabilities.- Binomial for Tests 12.4 Hypotheses.- Composite for Tests Ratio Likelihood 12.3 Hypotheses.- Simple for Tests Ratio Likelihood 12.2 Introduction.- 12.1 Significance.- of Tests 12 Bias.- 11.7* Experiments.- Planning and Information Expected 11.6* Models.- Two-Parameter for Results 11.5 Intervals.- Confidence 11.4 Approximations.- Chi-Square 11.3 Probability.- Coverage 11.2 Distributions.- Sampling 11.1 Properties.- Frequency 11 Likelihoods.- Multi-Parameter 10.8* Derivations.- Some 10.7* Theory.- Learning from Example An 10.6 Example.- Dose-Response A 10.5 Approximations.- Normal 10.4 Likelihood.- Relative Maximum 10.3 Maps.- Contour and Likelihood Relative 10.2 Estimation.- Likelihood Maximum 10.1 Likelihoods.- Two-Parameter 10 Problems.- Review Method.- Newton's 9.8 Approximations.- Normal 9.7 Invariance.- 9.6 Experiments.- Lifetime in Censoring 9.5 Models.- Continuous for Likelihood 9.4 Likelihood.- Relative 9.3 Experiments.- Independent Combining 9.2 Likelihood.- Maximum of Method The 9.1 Methods.- Likelihood 9 Volume2.- of sollte auch bei neuen Onlineshops ernst genommen werden Search Engine Marketing Nutzen Sie diesen Bereich Ihres Onlineshops daher sinnvoll kurz SEO Als Onlinehändler geben Sie diese Preise – falls vorhanden

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EAN: 9780387961835
Marke: Springer Berlin,Springer New York,Springer
weitere Infos: MPN: 23268617
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