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351. Principles of Uncertainty
by Joseph B. Kadane
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352. Linear Algebra and Probability for Computer Science Applications
by Ernest Davis
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353. Reliability and Maintenance Modeling With Optimization
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354. Everything is Predictable: How Bayesian Statistics Explain Our World
by Chivers, Tom
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355. Monte-Carlo Simulation
by Alan Stevens
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356. Parabolic Problems
by David Angell; Thomas Britz
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357. The Statistical Analysis of Small Data Sets
by Markus Neuhäuser; Graeme D. Ruxton
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2024, Oxford University Press Academic UK
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358. Bayesian Analysis With Python: a Practical Guide to Probabilistic Modeling
by Osvaldo Martin
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359. Parabolic Problems
by David Angell
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2024, CRC Press
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360. Parabolic Problems: 60 Years of Mathematical Puzzles in Parabola
by Angell, David, and Britz, Thomas
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361. Games, Gambling, and Probability
by David G. Taylor
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362. Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
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363. Fuzzy Topsis
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2024, CRC Press
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364. Parabolic Problems: 60 Years of Mathematical Puzzles in Parabola
by Angell, David, and Britz, Thomas
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365. Parabolic Problems: 60 Years of Mathematical Puzzles in Parabola
by Angell, David, and Britz, Thomas
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366. Parabolic Problems: 60 Years of Mathematical Puzzles in Parabola
by Angell, David, and Britz, Thomas
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367. Bayesian Compendium
by Marcel Van Oijen
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2024, Springer Nature
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368. Bayesian Applications in Environmental and Ecological Studies With R and Stan
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369. Monte-Carlo Simulation
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370. Secrets of the Moon
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2024, CRC Press
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371. Handbook of Bayesian Variable Selection
by Mahlet G. Tadesse
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372. Bayesian Analysis with Python: A practical guide to probabilistic modeling
by Martin, Osvaldo, and Fonnesbeck, Christopher (Foreword by), and Wiecki, Thomas (Foreword by)
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373. Bayesian Adaptive Methods for Clinical Trials
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2024, CRC Press
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374. Everything is Predictable: How Bayesian Statistics Explain Our World
by Chivers, Tom
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