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251. Efficiency and Productivity Analysis
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252. Modeling With Stochastic Programming
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255. Modern Discrete Probability
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256. An Introduction to Optimal Control Theory
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257. Stochastic Models in Reliability Engineering
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259. Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models
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260. Extreme Values in Random Sequences
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261. Probability Theory I
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262. Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
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263. Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models
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265. Modeling With Stochastic Programming
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266. Probability Theory I
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267. Efficiency and Productivity Analysis
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268. The Art of Finding Hidden Risks
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269. Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models
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270. Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
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271. Reliability: Probabilistic Models and Statistical Methods, Third Edition
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