Author: Marty Boardman
Publisher: Apress
ISBN: 1430246456
Category : Business & Economics
Languages : en
Pages : 218
Book Description
Let’s face it—fixing and flipping houses is sexy. Who doesn’t love the idea of buying a rundown, mold-infested shack and transforming it into someone’s dream home for massive profits? Reality TV shows make it look so easy. A little paint here, some new kitchen cabinets there, and presto! The house is sold for big bucks and everyone lives happily ever after. If only it were that simple. Fixing and flipping houses is a business. In order for a business to survive, prosper, and grow, systems must be put in place. Fixing and Flipping Real Estate: Strategies for the Post-Boom Era is a book that breaks down the four essential components of a fix-and-flip business, giving you the building blocks to efficiently buy and sell 1 to 20 properties a month in today’s post-boom era housing market. You’ll learn about each of the boxes: Acquisition—How to find and buy a profitable real estate deal. Rehabbing—How to systematically remodel a house and how not to underimprove, or overimprove, your property. Sales—How to sell your flip for the highest possible price in the shortest possible time. Raising Capital—How to get the capital you need to grow your business, including using other people’s money, for your real estate deals without getting sued or going to jail. In the post-real estate boom era, fixing and flipping is again a solid business--especially in the “sand” states—Arizona, California, Nevada, Texas, and Florida, among others. It’s also a good bet in states as diverse as North Carolina and Washington State. And with the real estate market projected to bottom out nationally in 2012 (this time for real), there are plenty of houses to be renovated and plenty of money to be made by the enterprising in all fifty states. This book shows real estate investors everything they need to know to get started fixing and reselling houses either as a substantial sideline or a full-on business.
Adaptive and Natural Computing Algorithms
Author: Bernadete Ribeiro
Publisher: Springer Science & Business Media
ISBN: 3211273891
Category : Computers
Languages : en
Pages : 561
Book Description
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.
Publisher: Springer Science & Business Media
ISBN: 3211273891
Category : Computers
Languages : en
Pages : 561
Book Description
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.
Flipped Instruction: Breakthroughs in Research and Practice
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522518045
Category : Education
Languages : en
Pages : 456
Book Description
The integration of technology into modern classrooms has enhanced learning opportunities for students. With increased access to educational content, students gain a better understanding of the concepts being taught. Flipped Instruction: Breakthroughs in Research and Practice is a comprehensive reference source for the latest scholarly perspectives on promoting flipped learning strategies, tools, and theories in classroom environments. Featuring a range of extensive coverage across innovative topics, such as student engagement, educational technologies, and online learning environments, this is an essential publication for educators, professionals, researchers, academics, and upper-level students interested in emerging developments in classroom and instructional design.
Publisher: IGI Global
ISBN: 1522518045
Category : Education
Languages : en
Pages : 456
Book Description
The integration of technology into modern classrooms has enhanced learning opportunities for students. With increased access to educational content, students gain a better understanding of the concepts being taught. Flipped Instruction: Breakthroughs in Research and Practice is a comprehensive reference source for the latest scholarly perspectives on promoting flipped learning strategies, tools, and theories in classroom environments. Featuring a range of extensive coverage across innovative topics, such as student engagement, educational technologies, and online learning environments, this is an essential publication for educators, professionals, researchers, academics, and upper-level students interested in emerging developments in classroom and instructional design.
The Flipped College Classroom
Author: Lucy Santos Green
Publisher: Springer
ISBN: 3319418556
Category : Education
Languages : en
Pages : 266
Book Description
This book provides a descriptive, progressive narrative on the flipped classroom including its history, connection to theory, structure, and strategies for implementation. Important questions to consider when evaluating the purpose and effectiveness of flipping are answered. The book also highlights case studies of flipped higher education classrooms within five different subject areas. Each case study is similarly structured to highlight the reasons behind flipping, principles guiding flipped instructions, strategies used, and lessons learned. An appendix that contains lesson plans, course schedules, and descriptions of specific activities is also included.
Publisher: Springer
ISBN: 3319418556
Category : Education
Languages : en
Pages : 266
Book Description
This book provides a descriptive, progressive narrative on the flipped classroom including its history, connection to theory, structure, and strategies for implementation. Important questions to consider when evaluating the purpose and effectiveness of flipping are answered. The book also highlights case studies of flipped higher education classrooms within five different subject areas. Each case study is similarly structured to highlight the reasons behind flipping, principles guiding flipped instructions, strategies used, and lessons learned. An appendix that contains lesson plans, course schedules, and descriptions of specific activities is also included.
Introduction to Linear Models and Statistical Inference
Author: Steven J. Janke
Publisher: John Wiley & Sons
ISBN: 0471740101
Category : Mathematics
Languages : en
Pages : 600
Book Description
A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: * Simple linear models * Multivariate models * Model building * Analysis of variance (ANOVA) * Analysis of covariance (ANCOVA) * Logistic regression * Total least squares The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.
Publisher: John Wiley & Sons
ISBN: 0471740101
Category : Mathematics
Languages : en
Pages : 600
Book Description
A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: * Simple linear models * Multivariate models * Model building * Analysis of variance (ANOVA) * Analysis of covariance (ANCOVA) * Logistic regression * Total least squares The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.
Essentials of Paleomagnetism
Author: Lisa Tauxe
Publisher: Univ of California Press
ISBN: 0520260317
Category : Science
Languages : en
Pages : 505
Book Description
"This book by Lisa Tauxe and others is a marvelous tool for education and research in Paleomagnetism. Many students in the U.S. and around the world will welcome this publication, which was previously only available via the Internet. Professor Tauxe has performed a service for teaching and research that is utterly unique."—Neil D. Opdyke, University of Florida
Publisher: Univ of California Press
ISBN: 0520260317
Category : Science
Languages : en
Pages : 505
Book Description
"This book by Lisa Tauxe and others is a marvelous tool for education and research in Paleomagnetism. Many students in the U.S. and around the world will welcome this publication, which was previously only available via the Internet. Professor Tauxe has performed a service for teaching and research that is utterly unique."—Neil D. Opdyke, University of Florida
Probably Not
Author: Lawrence N. Dworsky
Publisher: John Wiley & Sons
ISBN: 111951813X
Category : Mathematics
Languages : en
Pages : 351
Book Description
A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book’s illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something. The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor’s Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford’s Law that explores measuring the compliance and financial fraud detection using Benford’s Law. This book: Contains relevant mathematics and examples that demonstrate how to use the concepts presented Features a new chapter on Benford’s Law that explains why we find Benford’s law upheld in so many, but not all, natural situations Presents updated Life insurance tables Contains updates on the Gantt Chart example that further develops the discussion of random events Offers a companion site featuring solutions to the problem sets within the book Written for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with real-world examples. LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola’s Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of Introduction to Numerical Electrostatics Using MATLAB from Wiley.
Publisher: John Wiley & Sons
ISBN: 111951813X
Category : Mathematics
Languages : en
Pages : 351
Book Description
A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book’s illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something. The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor’s Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford’s Law that explores measuring the compliance and financial fraud detection using Benford’s Law. This book: Contains relevant mathematics and examples that demonstrate how to use the concepts presented Features a new chapter on Benford’s Law that explains why we find Benford’s law upheld in so many, but not all, natural situations Presents updated Life insurance tables Contains updates on the Gantt Chart example that further develops the discussion of random events Offers a companion site featuring solutions to the problem sets within the book Written for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with real-world examples. LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola’s Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of Introduction to Numerical Electrostatics Using MATLAB from Wiley.
From Research to Manuscript
Author: Michael J. Katz
Publisher: Springer Science & Business Media
ISBN: 1402040717
Category : Science
Languages : en
Pages : 159
Book Description
From Research to Manuscript, written in simple, straightforward language, explains how to understand and summarize a research project. It is a writing guide that goes beyond grammar and bibliographic formats, by demonstrating in detail how to compose the sections of a scientific paper. This book takes you from the data on your desk and leads you through the drafts and rewrites needed to build a thorough, clear science article. At each step, the book describes not only what to do but why and how. It discusses why each section of a science paper requires its particular form of information, and it shows how to put your data and your arguments into that form. Importantly, this writing manual recognizes that experiments in different disciplines need different presentations, and it is illustrated with examples from well-written papers on a wide variety of scientific subjects. As a textbook or as an individual tutorial, From Research to Manuscript belongs in the library of every serious science writer and editor.
Publisher: Springer Science & Business Media
ISBN: 1402040717
Category : Science
Languages : en
Pages : 159
Book Description
From Research to Manuscript, written in simple, straightforward language, explains how to understand and summarize a research project. It is a writing guide that goes beyond grammar and bibliographic formats, by demonstrating in detail how to compose the sections of a scientific paper. This book takes you from the data on your desk and leads you through the drafts and rewrites needed to build a thorough, clear science article. At each step, the book describes not only what to do but why and how. It discusses why each section of a science paper requires its particular form of information, and it shows how to put your data and your arguments into that form. Importantly, this writing manual recognizes that experiments in different disciplines need different presentations, and it is illustrated with examples from well-written papers on a wide variety of scientific subjects. As a textbook or as an individual tutorial, From Research to Manuscript belongs in the library of every serious science writer and editor.
Intuitive Biostatistics
Author: Harvey Motulsky
Publisher: Oxford University Press, USA
ISBN: 0199946647
Category : Medical
Languages : en
Pages : 578
Book Description
"Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher.
Publisher: Oxford University Press, USA
ISBN: 0199946647
Category : Medical
Languages : en
Pages : 578
Book Description
"Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"--Provided by publisher.
Decision and Game Theory for Security
Author: Radha Poovendran
Publisher: Springer
ISBN: 3319126016
Category : Computers
Languages : en
Pages : 388
Book Description
This book constitutes the refereed proceedings of the 5th International Conference on Decision and Game Theory for Security, GameSec 2014, held in Los Angeles, CA, USA, in November 2014. The 16 revised full papers presented together with 7 short papers were carefully reviewed and selected from numerous submissions. The covered topics cover multiple facets of cyber security that include: rationality of adversary, game-theoretic cryptographic techniques, vulnerability discovery and assessment, multi-goal security analysis, secure computation, economic-oriented security, and surveillance for security. Those aspects are covered in a multitude of domains that include networked systems, wireless communications, border patrol security, and control systems.
Publisher: Springer
ISBN: 3319126016
Category : Computers
Languages : en
Pages : 388
Book Description
This book constitutes the refereed proceedings of the 5th International Conference on Decision and Game Theory for Security, GameSec 2014, held in Los Angeles, CA, USA, in November 2014. The 16 revised full papers presented together with 7 short papers were carefully reviewed and selected from numerous submissions. The covered topics cover multiple facets of cyber security that include: rationality of adversary, game-theoretic cryptographic techniques, vulnerability discovery and assessment, multi-goal security analysis, secure computation, economic-oriented security, and surveillance for security. Those aspects are covered in a multitude of domains that include networked systems, wireless communications, border patrol security, and control systems.