Author: Edward Beltrami
Publisher: Springer Science & Business Media
ISBN: 1461214726
Category : Mathematics
Languages : en
Pages : 218
Book Description
In this fascinating book, mathematician Ed Beltrami takes a close enough look at randomness to make it mysteriously disappear. The results of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. "Random" sequences of numbers are more elusive, but Godels undecidability theorem informs us that we will never know. Those familiar with quantum indeterminacy assert that order is an illusion, and that the world is fundamentally random. Yet randomness is also an illusion. Perhaps order and randomness, like waves and particles, are only two sides of the same (tossed) coin.
What Is Random?
Author: Edward Beltrami
Publisher: Springer Science & Business Media
ISBN: 1461214726
Category : Mathematics
Languages : en
Pages : 218
Book Description
In this fascinating book, mathematician Ed Beltrami takes a close enough look at randomness to make it mysteriously disappear. The results of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. "Random" sequences of numbers are more elusive, but Godels undecidability theorem informs us that we will never know. Those familiar with quantum indeterminacy assert that order is an illusion, and that the world is fundamentally random. Yet randomness is also an illusion. Perhaps order and randomness, like waves and particles, are only two sides of the same (tossed) coin.
Publisher: Springer Science & Business Media
ISBN: 1461214726
Category : Mathematics
Languages : en
Pages : 218
Book Description
In this fascinating book, mathematician Ed Beltrami takes a close enough look at randomness to make it mysteriously disappear. The results of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. "Random" sequences of numbers are more elusive, but Godels undecidability theorem informs us that we will never know. Those familiar with quantum indeterminacy assert that order is an illusion, and that the world is fundamentally random. Yet randomness is also an illusion. Perhaps order and randomness, like waves and particles, are only two sides of the same (tossed) coin.
Business Research Methods
Author: Sheila Cameron
Publisher: Kogan Page Publishers
ISBN: 1843983621
Category : Business & Economics
Languages : en
Pages : 651
Book Description
Organizations need research, and managers have to be able to commission, judge and use others' research as well as conduct research themselves to inform business decisions. Business Research Methods helps you understand the challenges of carrying out worthwhile research into significant issues and develop a wide range of research-related professional skills. Guiding you through the process of selecting, carrying out and reporting on a successful research project, it breaks down the research process, from exploring the literature and crafting a research proposal to practical research management and addressing the transferable skills of project management and communication. Business Research Methods places research firmly in the real world, exploring why research is done and how to ensure that projects are meaningful for organizations. Examples and case studies, including examples of students' projects, give learners with little or no work experience a meaningful context in which to relate their own projects. Online supporting resources for lecturers include an instructor's manual with additional activities and supporting handouts, lecture slides and figures and tables from the text. Resources for students include web links, templates, quizzes, activities, examples of practice and sample questionnaire results for students.
Publisher: Kogan Page Publishers
ISBN: 1843983621
Category : Business & Economics
Languages : en
Pages : 651
Book Description
Organizations need research, and managers have to be able to commission, judge and use others' research as well as conduct research themselves to inform business decisions. Business Research Methods helps you understand the challenges of carrying out worthwhile research into significant issues and develop a wide range of research-related professional skills. Guiding you through the process of selecting, carrying out and reporting on a successful research project, it breaks down the research process, from exploring the literature and crafting a research proposal to practical research management and addressing the transferable skills of project management and communication. Business Research Methods places research firmly in the real world, exploring why research is done and how to ensure that projects are meaningful for organizations. Examples and case studies, including examples of students' projects, give learners with little or no work experience a meaningful context in which to relate their own projects. Online supporting resources for lecturers include an instructor's manual with additional activities and supporting handouts, lecture slides and figures and tables from the text. Resources for students include web links, templates, quizzes, activities, examples of practice and sample questionnaire results for students.
Ebook: Research Design and Methods: A Process Approach
Author: Kenneth Bordens
Publisher: McGraw Hill
ISBN: 0077171918
Category : Psychology
Languages : en
Pages : 1220
Book Description
Research Design and Methods: A Process Approach takes students through the research process, from getting and developing a research idea, to designing and conducting a study, through analyzing and reporting data. Information on the research process is presented in a lively and engaging way, highlighting the numerous decisions, both big and small, that must be made when designing and conducting successful research.
Publisher: McGraw Hill
ISBN: 0077171918
Category : Psychology
Languages : en
Pages : 1220
Book Description
Research Design and Methods: A Process Approach takes students through the research process, from getting and developing a research idea, to designing and conducting a study, through analyzing and reporting data. Information on the research process is presented in a lively and engaging way, highlighting the numerous decisions, both big and small, that must be made when designing and conducting successful research.
Computational Methods in Physics and Engineering
Author: Samuel Shaw Ming Wong
Publisher: Allied Publishers
ISBN: 9788177643213
Category : Engineering
Languages : en
Pages : 534
Book Description
Publisher: Allied Publishers
ISBN: 9788177643213
Category : Engineering
Languages : en
Pages : 534
Book Description
Statistics for Data Science and Analytics
Author: Peter C. Bruce
Publisher: John Wiley & Sons
ISBN: 1394253818
Category : Computers
Languages : en
Pages : 390
Book Description
Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of machine learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of “kitchen sink” formulas. Regression is taught both as a tool for explanation and for prediction. This book is informed by the authors’ experience designing and teaching both introductory statistics and machine learning at Statistics.com. Each chapter includes practical examples, explanations of the underlying concepts, and Python code snippets to help readers apply the techniques themselves. Statistics for Data Science and Analytics includes information on sample topics such as: Int, float, and string data types, numerical operations, manipulating strings, converting data types, and advanced data structures like lists, dictionaries, and sets Experiment design via randomizing, blinding, and before-after pairing, as well as proportions and percents when handling binary data Specialized Python packages like numpy, scipy, pandas, scikit-learn and statsmodels—the workhorses of data science—and how to get the most value from them Statistical versus practical significance, random number generators, functions for code reuse, and binomial and normal probability distributions Written by and for data science instructors, Statistics for Data Science and Analytics is an excellent learning resource for data science instructors prescribing a required intro stats course for their programs, as well as other students and professionals seeking to transition to the data science field.
Publisher: John Wiley & Sons
ISBN: 1394253818
Category : Computers
Languages : en
Pages : 390
Book Description
Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of machine learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of “kitchen sink” formulas. Regression is taught both as a tool for explanation and for prediction. This book is informed by the authors’ experience designing and teaching both introductory statistics and machine learning at Statistics.com. Each chapter includes practical examples, explanations of the underlying concepts, and Python code snippets to help readers apply the techniques themselves. Statistics for Data Science and Analytics includes information on sample topics such as: Int, float, and string data types, numerical operations, manipulating strings, converting data types, and advanced data structures like lists, dictionaries, and sets Experiment design via randomizing, blinding, and before-after pairing, as well as proportions and percents when handling binary data Specialized Python packages like numpy, scipy, pandas, scikit-learn and statsmodels—the workhorses of data science—and how to get the most value from them Statistical versus practical significance, random number generators, functions for code reuse, and binomial and normal probability distributions Written by and for data science instructors, Statistics for Data Science and Analytics is an excellent learning resource for data science instructors prescribing a required intro stats course for their programs, as well as other students and professionals seeking to transition to the data science field.
Probability and Statistics
Author: Cain Mckay
Publisher: Scientific e-Resources
ISBN: 1839473304
Category :
Languages : en
Pages : 331
Book Description
Publisher: Scientific e-Resources
ISBN: 1839473304
Category :
Languages : en
Pages : 331
Book Description
Handbook of Combinatorics
Author: R.L. Graham
Publisher: Elsevier
ISBN: 008093384X
Category : Computers
Languages : en
Pages : 2404
Book Description
Handbook of Combinatorics
Publisher: Elsevier
ISBN: 008093384X
Category : Computers
Languages : en
Pages : 2404
Book Description
Handbook of Combinatorics
The Oxford Handbook of Personnel Assessment and Selection
Author: Neal Schmitt
Publisher: Oxford University Press
ISBN: 0199930694
Category : Psychology
Languages : en
Pages : 992
Book Description
Employee selection has long stood at the practical forefront of industrial/organizational psychology. Today's social, business, and economic climates require ongoing adaptations by those who select organizations' personnel, and research on the topic helps gauge the impact of these adaptations and their implications for human performance and potential. The Oxford Handbook of Personnel Assessment and Selection codifies the wealth of new research surrounding employee selection (web-based assessments, social networking, globalization of organizations), situating them alongside more traditional practices to establish the best and most relevant research for both professionals and academics. Comprising chapters from authors in both the private sector and academia, this volume is organized into seven parts: (1) historical and social context of the field of assessment and selection; (2) research strategies; (3) individual difference constructs that underlie effective performance; (4) measures of predictor constructs; (5) employee performance and outcome assessment; (6) societal and organizational constraints on selection practice; and (7) implementation and sustainability of selection systems. While providing a comprehensive review of current research and practice, the purpose of this handbook is to provide an up-to-date profile of each of the areas addressed and highlight current questions that deserve additional attention from researchers and practitioners. This compendium is essential reading for industrial/organizational psychologists and human resource managers.
Publisher: Oxford University Press
ISBN: 0199930694
Category : Psychology
Languages : en
Pages : 992
Book Description
Employee selection has long stood at the practical forefront of industrial/organizational psychology. Today's social, business, and economic climates require ongoing adaptations by those who select organizations' personnel, and research on the topic helps gauge the impact of these adaptations and their implications for human performance and potential. The Oxford Handbook of Personnel Assessment and Selection codifies the wealth of new research surrounding employee selection (web-based assessments, social networking, globalization of organizations), situating them alongside more traditional practices to establish the best and most relevant research for both professionals and academics. Comprising chapters from authors in both the private sector and academia, this volume is organized into seven parts: (1) historical and social context of the field of assessment and selection; (2) research strategies; (3) individual difference constructs that underlie effective performance; (4) measures of predictor constructs; (5) employee performance and outcome assessment; (6) societal and organizational constraints on selection practice; and (7) implementation and sustainability of selection systems. While providing a comprehensive review of current research and practice, the purpose of this handbook is to provide an up-to-date profile of each of the areas addressed and highlight current questions that deserve additional attention from researchers and practitioners. This compendium is essential reading for industrial/organizational psychologists and human resource managers.
Modelling with Differential and Difference Equations
Author: Glenn Fulford
Publisher: Cambridge University Press
ISBN: 9780521446181
Category : Mathematics
Languages : en
Pages : 420
Book Description
Any student wishing to solve problems via mathematical modelling will find that this book provides an excellent introduction to the subject.
Publisher: Cambridge University Press
ISBN: 9780521446181
Category : Mathematics
Languages : en
Pages : 420
Book Description
Any student wishing to solve problems via mathematical modelling will find that this book provides an excellent introduction to the subject.
Handbook of Elliptic and Hyperelliptic Curve Cryptography
Author: Henri Cohen
Publisher: CRC Press
ISBN: 1420034987
Category : Mathematics
Languages : en
Pages : 843
Book Description
The discrete logarithm problem based on elliptic and hyperelliptic curves has gained a lot of popularity as a cryptographic primitive. The main reason is that no subexponential algorithm for computing discrete logarithms on small genus curves is currently available, except in very special cases. Therefore curve-based cryptosystems require much smaller key sizes than RSA to attain the same security level. This makes them particularly attractive for implementations on memory-restricted devices like smart cards and in high-security applications. The Handbook of Elliptic and Hyperelliptic Curve Cryptography introduces the theory and algorithms involved in curve-based cryptography. After a very detailed exposition of the mathematical background, it provides ready-to-implement algorithms for the group operations and computation of pairings. It explores methods for point counting and constructing curves with the complex multiplication method and provides the algorithms in an explicit manner. It also surveys generic methods to compute discrete logarithms and details index calculus methods for hyperelliptic curves. For some special curves the discrete logarithm problem can be transferred to an easier one; the consequences are explained and suggestions for good choices are given. The authors present applications to protocols for discrete-logarithm-based systems (including bilinear structures) and explain the use of elliptic and hyperelliptic curves in factorization and primality proving. Two chapters explore their design and efficient implementations in smart cards. Practical and theoretical aspects of side-channel attacks and countermeasures and a chapter devoted to (pseudo-)random number generation round off the exposition. The broad coverage of all- important areas makes this book a complete handbook of elliptic and hyperelliptic curve cryptography and an invaluable reference to anyone interested in this exciting field.
Publisher: CRC Press
ISBN: 1420034987
Category : Mathematics
Languages : en
Pages : 843
Book Description
The discrete logarithm problem based on elliptic and hyperelliptic curves has gained a lot of popularity as a cryptographic primitive. The main reason is that no subexponential algorithm for computing discrete logarithms on small genus curves is currently available, except in very special cases. Therefore curve-based cryptosystems require much smaller key sizes than RSA to attain the same security level. This makes them particularly attractive for implementations on memory-restricted devices like smart cards and in high-security applications. The Handbook of Elliptic and Hyperelliptic Curve Cryptography introduces the theory and algorithms involved in curve-based cryptography. After a very detailed exposition of the mathematical background, it provides ready-to-implement algorithms for the group operations and computation of pairings. It explores methods for point counting and constructing curves with the complex multiplication method and provides the algorithms in an explicit manner. It also surveys generic methods to compute discrete logarithms and details index calculus methods for hyperelliptic curves. For some special curves the discrete logarithm problem can be transferred to an easier one; the consequences are explained and suggestions for good choices are given. The authors present applications to protocols for discrete-logarithm-based systems (including bilinear structures) and explain the use of elliptic and hyperelliptic curves in factorization and primality proving. Two chapters explore their design and efficient implementations in smart cards. Practical and theoretical aspects of side-channel attacks and countermeasures and a chapter devoted to (pseudo-)random number generation round off the exposition. The broad coverage of all- important areas makes this book a complete handbook of elliptic and hyperelliptic curve cryptography and an invaluable reference to anyone interested in this exciting field.