| |
| |
Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Lista, Luca |
Statistical Methods for Data Analysis |
I12774 |
2023 |
eBook |
|
| 2 |
Lista, Luca |
Statistical Methods for Data Analysis in Particle Physics |
I09963 |
2016 |
eBook |
|
| 3 |
Lista, Luca |
Statistical Methods for Data Analysis in Particle Physics |
I08843 |
2017 |
eBook |
|
|
|
1.
  |
 |
| Title | Statistical Methods for Data Analysis : With Applications in Particle Physics |
| Author(s) | Lista, Luca |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2023. |
| Description | XXX, 334 p. 1 illus : online resource |
| Abstract Note | This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). It starts with an introduction to probability theory and basic statistics, mainly intended as a refresher from readers??? advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits. The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data |
| ISBN,Price | 9783031199349 |
| Keyword(s) | 1. Data Analysis and Big Data
2. EBOOK - SPRINGER
3. MACHINE LEARNING
4. PARTICLE PHYSICS
5. PARTICLES (NUCLEAR PHYSICS)
6. Quantitative research
7. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12774 |
|
|
On Shelf |
|
|
|
|
2.
 |
|
| Title | Statistical Methods for Data Analysis in Particle Physics |
| Author(s) | Lista, Luca |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XIX, 172 p. 63 illus., 59 illus. in color : online resource |
| Abstract Note | This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data |
| ISBN,Price | 9783319201764 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Elementary particles (Physics)
4. Elementary Particles, Quantum Field Theory
5. Measurement Science and Instrumentation
6. Measurement??????
7. PHYSICAL MEASUREMENTS
8. QUANTUM FIELD THEORY
9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
10. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09963 |
|
|
On Shelf |
|
|
|
|
|
3.
| |
| Title | Statistical Methods for Data Analysis in Particle Physics |
| Author(s) | Lista, Luca |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVI, 257 p. 101 illus., 97 illus. in color : online resource |
| Abstract Note | This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers??? advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation). ?? |
| ISBN,Price | 9783319628400 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Elementary particles (Physics)
4. Elementary Particles, Quantum Field Theory
5. Measurement Science and Instrumentation
6. Measurement??????
7. PHYSICAL MEASUREMENTS
8. QUANTUM FIELD THEORY
9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
10. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08843 |
|
|
On Shelf |
|
|
|
| |