The Seven Pillars Of Statistical Wisdom Stephen M Stigler Harvard University Press Αγγλικά Βιβλία Science Mathematics

What Gives Statistics Its Unity As A Science? Stephen Stigler Sets Forth The Seven Foundational Ideas Of Statistics—A Scientific Discipline Related To But Distinct From Mathematics And Computer Science Even Most Basic Idea—Aggregation Exemplified By Averaging—Is Counterintuitive It Allows One Gain Information Discarding Namely Individuality Observations Stigler’s Second Pillar Measurement Challenges Importance “Big Data” Noting That Are Not All Equally Important: Amount In Data Set Is Often Proportional Only Square Root Number Absolute Third Idea Likelihood Calibration Inferences With Use Probability Intercomparison Principle Statistical Comparisons Do Need Be Made Respect An External Standard Fifth Regression Both Paradox (Tall Parents On Average Produce Shorter Children Tall Have Parents) Basis Inference Including Bayesian Causal Reasoning Sixth Concept Captures Experimental Design—For Example Recognizing Gains Had Combinatorial Approach Rigorous Randomization Seventh Residual: Notion Complicated Phenomenon Can Simplified Subtracting Effect Known Causes Leaving Residual Explained More Easily Pillars Wisdom Presents Original Unified Account Will Fascinate Interested Layperson Engage Professional Statistician Σελίδες: 240 Έτος Έκδοσης: 0307 Διαστάσεις: 14X14Cm