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Gotowe bibliografie tematyczne / STEEP PROBABILITY / Książki

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Książki na temat „STEEP PROBABILITY”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 31 lipca 2025

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1

Ronchetti, Elvezio. Step 1: Statistique et probabilités : une introduction. 2nd ed. Presses polytechniques et universitaires romandes, 1991.

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2

Fowler, C. W. Constructing species frequency distributions: A step toward systemic management. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science Center, 1999.

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3

M, Kerry Sally, ed. Presenting medical statistics: From proposal to publication : a step-by-step guide. Oxford University Press, 2007.

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4

Diamantopoulos, Adamantios. Taking the fear out of data analysis: A step-by-step approach. Thomson Learning, 2000.

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5

Diamantopoulos, Adamantios. Taking the fear out of data analysis: A step-by-step approach. Business Press, 2000.

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6

Pallant, Julie. SPSS survival manual: A step by step guide to data analysis using SPSS for WIndows (versions 10 and 11). Open University Press, 2001.

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7

Ma, Jin. Forward-backward stochastic differential equations and their applications. Springer, 1999.

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8

Saha, Prasenjit, and Paul A. Taylor. Nuclear Fusion in Stars. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198816461.003.0006.

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This chapter enumerates some of the many nuclear reactions in stars. It focuses on a general principle: nuclear fusion requires overcoming the Coulomb barrier between nuclei, which is possible through the relatively infrequent process of quantum tunnelling. The tunnelling probability depends on the atomic num-bers and mass numbers of the nuclei involved, and also on their relative speed. These translate into steep and interesting temperature dependencies for nuclear reactions. Analytic approximations yield a rate that is almost vanishingly rare, yet within the incredibly large number of potent

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9

Rosman, Beckie. Learn Probability : Step-By-Step Solutions for 100 Probability Questions: Basic Probability Concepts. Independently Published, 2021.

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10

Publishing, School Specialty. Step-By-Step Probability, Intermediate. Instructional Fair, 2003.

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11

Gelman, Andrew, and Deborah Nolan. Problems and projects in probability. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0019.

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When probability is taught as a separate unit, not as part of a statistics course, then it makes sense to include exercises and examples that are motivated from mathematics rather than from applications. This chapter illustrates one way to promote active student involvement in a more advanced class. The material is designed to accommodate various mathematical backgrounds and to challenge all students. There are essentially three basic aspects to our mathematical probability courses: we teach in an interactive seminar style; we give students many challenging problems; and we require students to

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12

Foreman, Dale I., and Gregory W. Corder. Nonparametric Statistics: A Step-by-Step Approach. Wiley, 2014.

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13

Foreman, Dale I., and Gregory W. Corder. Nonparametric Statistics: A Step-By-Step Approach. Wiley & Sons, Incorporated, John, 2014.

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14

Foreman, Dale I., and Gregory W. Corder. Nonparametric Statistics: A Step-By-Step Approach. Wiley & Sons, Incorporated, John, 2014.

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15

Foreman, Dale I., and Gregory W. Corder. Nonparametric Statistics: A Step-by-Step Approach. Wiley & Sons, Incorporated, John, 2014.

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16

Foreman, Dale I., and Gregory W. Corder. Nonparametric Statistics: A Step-By-Step Approach. Wiley & Sons, Incorporated, John, 2014.

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17

Foreman, Dale I., and Gregory W. Corder. Nonparametric Statistics: A Step-By-Step Approach. Wiley & Sons, Incorporated, John, 2014.

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18

Wanklyn. Stainless steel waste containers: An assessment of the probability of stress cracking. 1991.

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19

Boyer, Mr Dennis. Money Charts : 8 High-Probability Trading Setups: Step-by-Step Chart-Based Trading for Any Market. Independently published, 2019.

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20

Borodin, Alexei, and Leonid Petrov. Integrable probability: stochastic vertex models and symmetric functions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797319.003.0002.

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This chapter presents the study of a homogeneous stochastic higher spin six-vertex model in a quadrant. For this model concise integral representations for multipoint q-moments of the height function and for the q-correlation functions are derived. At least in the case of the step initial condition, these formulas degenerate in appropriate limits to many known formulas of such type for integrable probabilistic systems in the (1+1)d KPZ universality class, including the stochastic six-vertex model, ASEP, various q-TASEPs, and associated zero-range processes. The arguments are largely based on p

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21

Donovan, Therese, and Ruth M. Mickey. Bayesian Statistics for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198841296.001.0001.

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Bayesian Statistics for Beginners is an entry-level book on Bayesian statistics. It is like no other math book you’ve read. It is written for readers who do not have advanced degrees in mathematics and who may struggle with mathematical notation, yet need to understand the basics of Bayesian inference for scientific investigations. Intended as a “quick read,” the entire book is written as an informal, humorous conversation between the reader and writer—a natural way to present material for those new to Bayesian inference. The most impressive feature of the book is the sheer length of the journ

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22

Öztorun, Namık Kemal, and Ezgi Öztorun Köroğlu. Steel Structures I. İstanbul University–Cerrahpaşa Press Serial Number: 88, 2025. https://doi.org/10.5152/4100.

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This book provides comprehensive information essential for both the design of new steel structures and the analysis of existing ones. It covers the fundamental principles of design, procedures, historical context, specifications, and the Turkish standard TS 498 for design loads. It also addresses probability and factor of safety, the application of steel in structures, the mechanical properties of structural steels, and an introductory comments on TS 498. The book covers fundamental concepts including the behavior of tension and compression members, methods for their analysis, and details rega

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23

Latent variable modeling using R: a step by step guide. Routledge, Taylor and Francis Group, 2014.

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24

Chigozie, Godwin. Probability Essentials and Graphic Guide to Multivariate Data Analysis: A Step-By-Step Guide to Data Analysis and Interpretation for Healthcare Practitioners Using SPSS. Independently Published, 2020.

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25

Corina, Myra. Forex Trading for Beginners : This Book Incorporates: Forex Trading Investing and Strategies. Step by Step Instructions to Trade for a Living Using High Probability Strategies. Independently Published, 2021.

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26

Peacock, Janet, and Sally Kerry. Presenting Medical Statistics from Proposal to Publication: A Step-by-step Guide (Oxford Medical Publications). Oxford University Press, USA, 2006.

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27

How to Make Money with Forex Trading: Step by Step Instructions to Make Money in Forex Trading,a Practical Guide to High Probability Day Trading Strategies and Methods. Independently Published, 2020.

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28

Yeske, Dave, and Elissa Buie. Psychological Aspects of Financial Planning. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0015.

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This chapter discusses personal financial planning, which is an interdisciplinary practice that employs a six-step process to develop integrated strategies for individuals and families to efficiently mobilize their human and financial capital to achieve their life goals. Financial planning draws from various disciplines, including counseling, psychology, finance, economics, and law. It includes budgeting and cash flow planning, risk management, insurance planning, investment planning, retirement and employee benefits planning, tax planning, and estate planning. The strategic process whereby fi

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29

Adebiyi, Babatope. Complete Start Trading Like Pro Today : 5 in 1 Book to Learn How to Trade Forex Step by Step: Learn High Probability Trading Strategies to Make Maximum Profits in Forex. Independently Published, 2022.

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30

SPSS survival manual: A step by step guide to data analysis using SPSS for Windows. 3rd ed. McGraw Hill/Open University Press, 2007.

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31

Bandyopadhyay, Arindam. Basic Statistics for Risk Management in Banks and Financial Institutions. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192849014.001.0001.

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The book provides an engaging account of theoretical, empirical, and practical aspects of various statistical methods in measuring risks of financial institutions, especially banks. In this book, the author demonstrates how banks can apply many simple but effective statistical techniques to analyse risks they face in business and safeguard themselves from potential vulnerability. It covers three primary areas of banking risks—credit, market, and operational risk, and in a uniquely intuitive, step-by-step manner, the author provides hands-on details on the primary statistical tools that can be

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32

R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition. Packt Publishing, 2018.

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33

SPSS survival manual: A step by step guide to data analysis using SPSS for Windows (version 12). 2nd ed. Open University Press, 2005.

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34

SPSS survival manual: A step by step guide to data analysis using SPSS for Windows (Versions 10 and 11). Open University Press, 2003.

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35

Ma, Jin, and Jiongmin Yong. Forward-Backward Stochastic Differential Equations and their Applications (Lecture Notes in Mathematics). Springer, 2007.

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36

Yong, Jiongmin, and Jin Ma. Forward-Backward Stochastic Differential Equations and Their Applications. Springer London, Limited, 2007.

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