Atjaunināt sīkdatņu piekrišanu

E-grāmata: Probability and Statistics for Physical Sciences

(Professor Emeritus, University College London, UK), (Chief Research Compliance Officer and Research Integrity Officer, Cornell University, NY, USA)
  • Formāts: PDF+DRM
  • Izdošanas datums: 05-Sep-2023
  • Izdevniecība: Academic Press Inc
  • Valoda: eng
  • ISBN-13: 9780443189708
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 80,15 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: PDF+DRM
  • Izdošanas datums: 05-Sep-2023
  • Izdevniecība: Academic Press Inc
  • Valoda: eng
  • ISBN-13: 9780443189708
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines.
  • Provides a collection of useful formulas with mathematical background
  • Includes worked examples throughout and end-of-chapter problems for practice
  • Offers a logical progression through topics and methods in statistics and probability
1. Statistics, Experiments, and Data
2. Probability
3. Probability Distributions I: Basic Concepts
4. Probability Distributions II: Examples
5. Sampling and Estimation
6. Sampling Distributions Associated with the Normal Distribution
7. Parameter Estimation I: Maximum Likelihood and Minimum Variance
8. Parameter Estimation II: Least-Squares and Other Methods
9. Interval Estimation
10. Hypothesis Testing I: Parameters
11. Hypothesis Testing II: Other Tests

Appendices
1. Miscellaneous Mathematics
2. Optimization of Nonlinear Functions
3. Statistical Tables
4. Answers to Selected Problems
Prof. Brian R. Martin graduated from Birmingham University with a BSc in Physics and then moved to University College London (1962-1965) to take a PhD in Theoretical Physics. He was a Ford Foundation Fellow at the Institute for Theoretical Physics, Copenhagen University, Copenhagen; a NATO Postdoctoral Fellowship at the Neils Bohr Institute, Copenhagen; and a Research Associate in the Physics Department of Brookhaven National Laboratory, New York. Returning to University College London, he served as a Lecturer, then a Reader and Professor, before becoming Head of Department (1993-2004). Professor Martin retired as Professor Emeritus in October 2005. Dr. Mark F. Hurwitz graduated from Northwestern University with a BS in Mechanical Engineering and then worked as an engineer at Xerox Corporation while earning an MS in Mechanical and Aerospace Engineering at the University of Rochester. He earned a PhD at Cornell University in Theoretical and Applied Mechanics during an extensive R&D career in the filtration and separations industry at Pall Corporation, where he was inventor of 12 US patents with multiple foreign cognates. Returning to Cornell University, he was an Adjunct Professor in the Robert Frederick Smith School of Chemical and Biomolecular Engineering, before moving to administration and becoming the Chief Research Compliance Officer.