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Astrophysics For Dummies
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Beginning Power Bi For Business Users – Learning To Turn Data Into Insights
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Pre-Calculus All-In-One For Dummies (+ Chapter Quizzes Online)
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Digital Sat Math Prep For Dummies, 3rd Edition (+ 4 Practice Tests Online)
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Hypernomics: Using Hidden Dimensions To Solve Unseen Problems
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Leading In Analytics: The Seven Critical Tasks For Executives To Master In The Age Of Big Data
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R Programming For Actuarial Science
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Innovation Diffusion Models – Theory And Practice
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Near Extensions And Alignment Of Data In R^N: Whitney Extensions Of Near Isometries, Shortest Paths, Equidistribution, Clustering And Non-Rigid Alignm
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Introductory and Intermediate Algebra through Applications
The?Akst/Bragg?series? success is built around clear and concise writing, a side-by-side ?teach by example? approach, and integrated applications throughout that help you achieve a conceptual understanding.
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Statistical Theory and Inference
This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma.
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Introduction to the Practice of Statistics
Now available with Macmillan’s new online learning tool Achieve, Introduction to the Practice of Statistics, 10th edition, prepares students for the application of statistics in the real world by using current examples and encouraging exploration into data analysis and interpretation. The text enforces statistical thinking by providing learning objectives and linked exercises to help students master core statistics concepts and think beyond the calculations.
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