Tag Archives: Correlation

Educational Philosophy in the French Enlightenment

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Natasha Gill, "Educational Philosophy in the French Enlightenment"
English | 2010 | ISBN-10: 0754662896 | 304 pages | PDF | 4 MB

Educational Philosophy in the French Enlightenment
Though Emile is still considered the central pedagogical text of the French Enlightenment, a myriad of lesser-known thinkers paved the way for Rousseau's masterpiece. Natasha Gill traces the arc of these thinkers as they sought to reveal the correlation between early childhood experiences and the success or failure of social and political relations, and set the terms for the modern debate about the influence of nature and nurture in individual growth and collective life. Gill offers a comprehensive analysis of the rich cross-fertilization between educational and philosophical thought in the French Enlightenment. She begins by showing how in Some Thoughts Concerning Education John Locke set the stage for the French debate by transposing key themes from his philosophy into an educational context. Her treatment of the abbe Claude Fleury, the rector of the University of Paris Charles Rollin, and Swiss educator Jean-Pierre de Crousaz illustrates the extent to which early Enlightenment theorists reevaluated childhood and learning methods on the basis of sensationist psychology. Etienne-Gabriel Morelly, usually studied as a marginal thinker in the history of utopian thought, is here revealed as the most important precursor to Rousseau, and the first theorist to claim education as the vehicle through which individual liberation, social harmony and political unity could be achieved. Gill concludes with an analysis of the educational-philosophical dispute between Helvetius and Rousseau, and traces the influence of pedagogical theory on the political debate surrounding the expulsion of the Jesuits in 1762.

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Handbook of Industrial Engineering Equations, Formulas, and Calculations (Industrial Innovation Series)

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Handbook of Industrial Engineering Equations, Formulas, and Calculations (Industrial Innovation Series) by Adedeji B. Badiru
English | 2010 | ISBN: 1420076272 | 426 Pages | PDF | 2 MB
The first handbook to focus exclusively on industrial engineering calculations with a correlation to applications, Handbook of Industrial Engineering Equations, Formulas, and Calculations contains a general collection of the mathematical equations often used in the practice of industrial engineering.

Handbook of Industrial Engineering Equations, Formulas, and Calculations (Industrial Innovation Series)
Many books cover individual areas of engineering and some cover all areas, but none covers industrial engineering specifically, nor do they highlight topics such as project management, materials, and systems engineering from an integrated viewpoint. Written by acclaimed researchers and authors, this concise reference marries theory and practice, making it a versatile and flexible resource. Succinctly formatted for functionality, the book presents: Basic Math Calculations Engineering Math Calculations Production Engineering Calculations Engineering Economics Calculations Ergonomics Calculations Facility Layout Calculations Production Sequencing and Scheduling Calculations Systems Engineering Calculations Data Engineering Calculations Project Engineering Calculations Simulation and Statistical Equations It has been said that engineers make things while industrial engineers make things better . To make something better requires an understanding of its basic characteristics and the underlying equations and calculations that facilitate that understanding. To do this, however, you don't have to be computational experts; you just have to know where to get the computational resources that are needed. This book elucidates the underlying equations that facilitate the understanding required to improve design processes, continuously improving the answer to the age-old question: What is the best way to do a job?
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Statistical Methods and Reasoning for the Clinical Sciences

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Eiki Satake, "Statistical Methods and Reasoning for the Clinical Sciences"
English | ISBN: 1597564338 | 2015 | 303 pages | PDF | 10 MB

Statistical Methods and Reasoning for the Clinical Sciences
The growing emphasis on evidence-based practice has increased the importance of using clinical studies for empirical demonstration of the efficacy of clinical interventions. As a result, speech-language pathologists and audiologists must be well-versed in research methods and statistical analysis. In fact, a demonstrated knowledge of statistics (including a stand-alone course in statistics) is a requirement of ASHA certification effective September 1, 2014. is the ideal textbook to meet the need for a solid understanding of statistics for communication sciences and disorders. The author clearly defines and illustrates the foundational concepts of statistics, including statistical vocabulary, population parameters, sampling methods, and descriptive methods like measures, correlation, and regression. Emphasis is placed on the topic of probability because a firm grasp of the probabilistic approach is essential for any clinician to generate a precise diagnosis. The readers of this textbook will: Comprehend how clinical research reflects a series of steps that conform with the scientific method of problem solving (observation, hypothesis formation, hypothesis testing, verification, and evaluation). Appreciate the importance of including rationales in a research study that entail three interrelated tasks: description (why it was done), explanation (what was done and to whom), contextualization (how the results relate to other bodies of knowledge). Distinguish between "statistical significance" and "clinical significance." Value the importance of scientific literacy as a major ingredient of evidence practice. With its comprehensive scope and timely content is the ideal text for students of communication sciences and disorders who wish to engage in truly evidence-based practice.
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Heptinstall’s Pathology of the Kidney, 7th edition

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Heptinstall's Pathology of the Kidney, 7th edition By J.Charles Jennette, Vivette D'Agati and more
2014 | 1592 Pages | ISBN: 1451144113 | PDF | 93 MB

Heptinstall’s Pathology of the Kidney, 7th edition
If you're looking to deepen your understanding of kidney disease, look no further than Heptinstall's Pathology of the Kidney, 7th Edition. Authored by the world's most accomplished renal pathologists, this image-rich text conveys the intricacies and comprehensiveness of renal disease, offering powerful diagnostic and treatment recommendations from decades of clinical research. Stay up to date on the cutting edge of kidney research and treatment and offer your patients the best therapeutic options and preventative measures available today.

Key Features: including over 1500 color images, diagrammatic line drawings, easy reference tables, and figures; deconstructs kidney pathology, etiology, pathogenesis, demographics, and epidemiology; clinical correlations feature presentation, outcomes, and guidance on patient management; and up to date recent studies in clinico-pathologic correlation and patient management.
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The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

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Michael R. Chernick, "The Essentials of Biostatistics for Physicians, Nurses, and Clinicians"
English | ISBN: 0470641851 | 2011 | 228 pages | PDF | 4 MB

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians
A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today’s biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is nontechnical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Metaanalysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, crossover designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upperundergraduate and graduate levels.
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The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

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Michael R. Chernick, "The Essentials of Biostatistics for Physicians, Nurses, and Clinicians"
English | ISBN: 0470641851 | 2011 | 228 pages | PDF | 4 MB

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians
A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today’s biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is nontechnical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Metaanalysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, crossover designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upperundergraduate and graduate levels.
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Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems

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Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems by Abraham Nitzan
English | 2006-06-01 | ISBN: 0198529791 | PDF | 744 pages | 3,3 MB

Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems
This text provides a uniform and consistent approach to diversified problems encountered in the study of dynamical processes in condensed phase molecular systems. Given the broad interdisciplinary aspect of this subject, the book focuses on three themes: coverage of needed background material, in-depth introduction of methodologies, and analysis of several key applications. The uniform approach and common language used in all discussions help to develop general understanding and insight on condensed phases chemical dynamics. The applications discussed are among the most fundamental processes that underlie physical, chemical and biological phenomena in complex systems.

The first part of the book starts with a general review of basic mathematical and physical methods (Chapter 1) and a few introductory chapters on quantum dynamics (Chapter 2), interaction of radiation and matter (Chapter 3) and basic properties of solids (chapter 4) and liquids (Chapter 5). In the second part the text embarks on a broad coverage of the main methodological approaches. The central role of classical and quantum time correlation functions is emphasized in Chapter 6. The presentation of dynamical phenomena in complex systems as stochastic processes is discussed in Chapters 7 and 8. The basic theory of quantum relaxation phenomena is developed in Chapter 9, and carried on in Chapter 10 which introduces the density operator, its quantum evolution in Liouville space, and the concept of reduced equation of motions. The methodological part concludes with a discussion of linear response theory in Chapter 11, and of the spin-boson model in chapter 12. The third part of the book applies the methodologies introduced earlier to several fundamental processes that underlie much of the dynamical behaviour of condensed phase molecular systems. Vibrational relaxation and vibrational energy transfer (Chapter 13), Barrier crossing and diffusion controlled reactions (Chapter 14), solvation dynamics (Chapter 15), electron transfer in bulk solvents (Chapter 16) and at electrodes/electrolyte and metal/molecule/metal junctions (Chapter 17), and several processes pertaining to molecular spectroscopy in condensed phases (Chapter 18) are the main subjects discussed in this part.
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Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems

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Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems by Abraham Nitzan
English | 2006-06-01 | ISBN: 0198529791 | PDF | 744 pages | 3,3 MB

Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems
This text provides a uniform and consistent approach to diversified problems encountered in the study of dynamical processes in condensed phase molecular systems. Given the broad interdisciplinary aspect of this subject, the book focuses on three themes: coverage of needed background material, in-depth introduction of methodologies, and analysis of several key applications. The uniform approach and common language used in all discussions help to develop general understanding and insight on condensed phases chemical dynamics. The applications discussed are among the most fundamental processes that underlie physical, chemical and biological phenomena in complex systems.

The first part of the book starts with a general review of basic mathematical and physical methods (Chapter 1) and a few introductory chapters on quantum dynamics (Chapter 2), interaction of radiation and matter (Chapter 3) and basic properties of solids (chapter 4) and liquids (Chapter 5). In the second part the text embarks on a broad coverage of the main methodological approaches. The central role of classical and quantum time correlation functions is emphasized in Chapter 6. The presentation of dynamical phenomena in complex systems as stochastic processes is discussed in Chapters 7 and 8. The basic theory of quantum relaxation phenomena is developed in Chapter 9, and carried on in Chapter 10 which introduces the density operator, its quantum evolution in Liouville space, and the concept of reduced equation of motions. The methodological part concludes with a discussion of linear response theory in Chapter 11, and of the spin-boson model in chapter 12. The third part of the book applies the methodologies introduced earlier to several fundamental processes that underlie much of the dynamical behaviour of condensed phase molecular systems. Vibrational relaxation and vibrational energy transfer (Chapter 13), Barrier crossing and diffusion controlled reactions (Chapter 14), solvation dynamics (Chapter 15), electron transfer in bulk solvents (Chapter 16) and at electrodes/electrolyte and metal/molecule/metal junctions (Chapter 17), and several processes pertaining to molecular spectroscopy in condensed phases (Chapter 18) are the main subjects discussed in this part.
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Principles of Statistics

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Principles of Statistics (Dover Books on Mathematics) by M.G. Bulmer
1979 | ISBN: 0486637603 | English | 252 pages | EPUB | 9 MB

Principles of Statistics
There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's , originally published in 1965, was created to fill that need. The new, corrected Dover edition of makes this invaluable mid-level text available once again for the classroom or for self-study.
was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)
Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc.
The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.
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Principles of Statistics

FREEDownload : Principles of Statistics

Principles of Statistics (Dover Books on Mathematics) by M.G. Bulmer
1979 | ISBN: 0486637603 | English | 252 pages | EPUB | 9 MB

Principles of Statistics
There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's , originally published in 1965, was created to fill that need. The new, corrected Dover edition of makes this invaluable mid-level text available once again for the classroom or for self-study.
was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)
Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc.
The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.
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