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Delhi University Library System
University of Delhi, Delhi
Showing 198,941-198,960 of 365,091 items.
| S.No. | ISBN | Title of Book | Author | Year | Publisher | Action |
|---|---|---|---|---|---|---|
| 198941 | 9781003019169 | Bayesian Modeling and Computation in Python: | Osvaldo A. Martin; Ravin Kumar; Junpeng Lao | 2022 | Taylor and Francis | Click Here |
| 198942 | 9781003181057 | The Sharpe Ratio:Statistics and Applications | Steven E. Pav | 2022 | Taylor and Francis | Click Here |
| 198943 | 9781003218531 | Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials: | Andrew P. Grieve | 2022 | Taylor and Francis | Click Here |
| 198944 | 9781003205685 | Machine Learning for Knowledge Discovery with R:Methodologies for Modeling, Inference and Prediction | Kao-Tai Tsai | 2022 | Taylor and Francis | Click Here |
| 198945 | 9781003266815 | Handbook of Graphs and Networks in People Analytics:With Examples in R and Python | Keith McNulty | 2022 | Taylor and Francis | Click Here |
| 198946 | 9780429488801 | Quantitative Drug Safety and Benefit Risk Evaluation:Practical and Cross-Disciplinary Approaches | William Wang; Melvin Munsaka; James Buchanan; Judy Li | 2022 | Taylor and Francis | Click Here |
| 198947 | 9780367814397 | Data Science and Big Data Analytics in Smart Environments: | Marta Chinnici; Florin Pop; Catalin Negru | 2022 | Taylor and Francis | Click Here |
| 198948 | 9781003033691 | Design and Analysis of Experiments and Observational Studies using R: | Nathan Taback | 2022 | Taylor and Francis | Click Here |
| 198949 | 9781003091448 | Mechanizing Hypothesis Formation:Principles and Case Studies | Jan Rauch; Milan Šim?nek; David Chudán; Petr Máša | 2022 | Taylor and Francis | Click Here |
| 198950 | 9781003298762 | Modeling Change and Uncertainty:Machine Learning and Other Techniques | William P. Fox; Robert E. Burks | 2022 | Taylor and Francis | Click Here |
| 198951 | 9781003148111 | Basic Statistics and Epidemiology:A Practical Guide | Antony Stewart | 2022 | Taylor and Francis | Click Here |
| 198952 | 9781003089032 | Tree-Based Methods for Statistical Learning in R: | Brandon M. Greenwell | 2022 | Taylor and Francis | Click Here |
| 198953 | 9781003091776 | Spatial Predictive Modeling with R: | Jin Li | 2022 | Taylor and Francis | Click Here |
| 198954 | 9781315370545 | Analysis of Distributional Data: | Paula Brito; Sonia Dias | 2022 | Taylor and Francis | Click Here |
| 198955 | 9781003218869 | Mining Complex Networks: | Bogumil Kaminski; Pawel Pra?at; Francois Theberge | 2022 | Taylor and Francis | Click Here |
| 198956 | 9781003102397 | Computational Intelligence for Wireless Sensor Networks:Principles and Applications | Sandip Kumar Chaurasiya; Joydeep Dutta; Arindam Biswas; Gorachand Dutta; Mrinal Kanti Sarkar | 2022 | Taylor and Francis | Click Here |
| 198957 | 9781003222330 | Applied Engineering Statistics: | R. Russell Rhinehart; Robert M. Bethea | 2022 | Taylor and Francis | Click Here |
| 198958 | 9781003175414 | Advanced R Solutions: | Malte Grosser; Henning Bumann; Hadley Wickham | 2022 | Taylor and Francis | Click Here |
| 198959 | 9781003050575 | Deterministic and Stochastic Optimal Control and Inverse Problems: | Akhtar A. Khan; Baasansuren Jadamba; Stanis?aw Migórski; Miguel Sama | 2022 | Taylor and Francis | Click Here |
| 198960 | 9781003017523 | Real-World Evidence in a Patient-Centric Digital Era: | Kelly H. Zou; Lobna A. Salem; Amrit Ray | 2022 | Taylor and Francis | Click Here |