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Seller: Friends of the Multnomah County Library, Portland, OR, U.S.A.
Softcover. Condition: Good. Clean pages tightly bound. Seller Inventory # 301202506
Quantity: 2 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 44105751-n
Quantity: Over 20 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Mar2317530287398
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Principles of Statistical Analysis: Learning from Randomized Experiments 1.2. Book. Seller Inventory # BBS-9781108747448
Quantity: 5 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781108747448
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Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Seller Inventory # ABEJUNE24-152524
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. New edition NO-PA16APR2015-KAP. Seller Inventory # 26388480390
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 44105751
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Seller: Prior Books Ltd, Cheltenham, United Kingdom
Paperback. Condition: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price. Seller Inventory # 204279
Quantity: 1 available
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance simulation and sampling, as well as experimental design and data collection that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference. This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems many computational build understanding and skills. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108747448
Quantity: 1 available