Author: Thomas A. Bass
Publisher: Macmillan
ISBN: 9780805057577
Category : Business & Economics
Languages : en
Pages : 324
Book Description
Bass relates how two rumpled physicists set up computers in an adobe house in Santa Fe for a start-up company, and follows their journey into the centers of financial power where "the predictors" find investors and finally go live with real money.
The Predictors
Author: Thomas A. Bass
Publisher: Macmillan
ISBN: 9780805057577
Category : Business & Economics
Languages : en
Pages : 324
Book Description
Bass relates how two rumpled physicists set up computers in an adobe house in Santa Fe for a start-up company, and follows their journey into the centers of financial power where "the predictors" find investors and finally go live with real money.
Publisher: Macmillan
ISBN: 9780805057577
Category : Business & Economics
Languages : en
Pages : 324
Book Description
Bass relates how two rumpled physicists set up computers in an adobe house in Santa Fe for a start-up company, and follows their journey into the centers of financial power where "the predictors" find investors and finally go live with real money.
The Predictors of Subjective Well-Being
Author: Fevziye DOLUNAY CUĞ
Publisher: Akademisyen Kitabevi
ISBN: 6052588012
Category : Art
Languages : en
Pages : 27
Book Description
Publisher: Akademisyen Kitabevi
ISBN: 6052588012
Category : Art
Languages : en
Pages : 27
Book Description
Regression with Linear Predictors
Author: Per Kragh Andersen
Publisher: Springer
ISBN: 144197170X
Category : Mathematics
Languages : en
Pages : 502
Book Description
This is a book about regression analysis, that is, the situation in statistics where the distribution of a response (or outcome) variable is related to - planatory variables (or covariates). This is an extremely common situation in the application of statistical methods in many ?elds, andlinear regression,- gistic regression, and Cox proportional hazards regression are frequently used for quantitative, binary, and survival time outcome variables, respectively. Several books on these topics have appeared and for that reason one may well ask why we embark on writing still another book on regression. We have two main reasons for doing this: 1. First, we want to highlightsimilaritiesamonglinear,logistic,proportional hazards,andotherregressionmodelsthatincludealinearpredictor. These modelsareoftentreatedentirelyseparatelyintextsinspiteofthefactthat alloperationsonthemodelsdealingwiththelinearpredictorareprecisely the same, including handling of categorical and quantitative covariates, testing for linearity and studying interactions. 2. Second, we want to emphasize that, for any type of outcome variable, multiple regression models are composed of simple building blocks that areaddedtogetherinthelinearpredictor:thatis,t-tests,one-wayanalyses of variance and simple linear regressions for quantitative outcomes, 2×2, 2×(k+1) tables and simple logistic regressions for binary outcomes, and 2-and (k+1)-sample logrank testsand simple Cox regressionsfor survival data. Thishastwoconsequences. Allthesesimpleandwellknownmethods can be considered as special cases of the regression models. On the other hand, the e?ect of a single explanatory variable in a multiple regression model can be interpreted in a way similar to that obtained in the simple analysis, however, now valid only for the other explanatory variables in the model “held ?xed”.
Publisher: Springer
ISBN: 144197170X
Category : Mathematics
Languages : en
Pages : 502
Book Description
This is a book about regression analysis, that is, the situation in statistics where the distribution of a response (or outcome) variable is related to - planatory variables (or covariates). This is an extremely common situation in the application of statistical methods in many ?elds, andlinear regression,- gistic regression, and Cox proportional hazards regression are frequently used for quantitative, binary, and survival time outcome variables, respectively. Several books on these topics have appeared and for that reason one may well ask why we embark on writing still another book on regression. We have two main reasons for doing this: 1. First, we want to highlightsimilaritiesamonglinear,logistic,proportional hazards,andotherregressionmodelsthatincludealinearpredictor. These modelsareoftentreatedentirelyseparatelyintextsinspiteofthefactthat alloperationsonthemodelsdealingwiththelinearpredictorareprecisely the same, including handling of categorical and quantitative covariates, testing for linearity and studying interactions. 2. Second, we want to emphasize that, for any type of outcome variable, multiple regression models are composed of simple building blocks that areaddedtogetherinthelinearpredictor:thatis,t-tests,one-wayanalyses of variance and simple linear regressions for quantitative outcomes, 2×2, 2×(k+1) tables and simple logistic regressions for binary outcomes, and 2-and (k+1)-sample logrank testsand simple Cox regressionsfor survival data. Thishastwoconsequences. Allthesesimpleandwellknownmethods can be considered as special cases of the regression models. On the other hand, the e?ect of a single explanatory variable in a multiple regression model can be interpreted in a way similar to that obtained in the simple analysis, however, now valid only for the other explanatory variables in the model “held ?xed”.
Black and Blue
Author: James L. Gibson
Publisher:
ISBN: 0190865229
Category : Law
Languages : en
Pages : 225
Book Description
A crisis of legitimacy exists between African Americans and American legal institutions. This book shows how and why African Americans differ in a desire to ascribe legitimacy to legal institutions, as well as a willingness to accept the policy decisions those institutions put forward.
Publisher:
ISBN: 0190865229
Category : Law
Languages : en
Pages : 225
Book Description
A crisis of legitimacy exists between African Americans and American legal institutions. This book shows how and why African Americans differ in a desire to ascribe legitimacy to legal institutions, as well as a willingness to accept the policy decisions those institutions put forward.
Feature Engineering and Selection
Author: Max Kuhn
Publisher: CRC Press
ISBN: 1351609467
Category : Business & Economics
Languages : en
Pages : 266
Book Description
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
Publisher: CRC Press
ISBN: 1351609467
Category : Business & Economics
Languages : en
Pages : 266
Book Description
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
An Introduction to Statistical Learning
Author: Gareth James
Publisher: Springer Science & Business Media
ISBN: 1461471389
Category : Mathematics
Languages : en
Pages : 434
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Publisher: Springer Science & Business Media
ISBN: 1461471389
Category : Mathematics
Languages : en
Pages : 434
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Forecasting: principles and practice
Author: Rob J Hyndman
Publisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Publisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Handbook of Psychology, Research Methods in Psychology
Author: Irving B. Weiner
Publisher: John Wiley & Sons
ISBN: 9780471385134
Category : Medical
Languages : en
Pages : 744
Book Description
Includes established theories and cutting-edge developments. Presents the work of an international group of experts. Presents the nature, origin, implications, an future course of major unresolved issues in the area.
Publisher: John Wiley & Sons
ISBN: 9780471385134
Category : Medical
Languages : en
Pages : 744
Book Description
Includes established theories and cutting-edge developments. Presents the work of an international group of experts. Presents the nature, origin, implications, an future course of major unresolved issues in the area.
Manufacturing Competency and Strategic Success in the Automobile Industry
Author: Chandan Deep Singh
Publisher: CRC Press
ISBN: 0429942567
Category : Technology & Engineering
Languages : en
Pages : 260
Book Description
Strategic success of industry depends upon manufacturing competencies (i.e., the competitive advantage to ensure better quality and reliability), which will increase sales and create a sound customer base. Competitive priorities are the operating advantages that are assessed, evaluated, and measured within the parameters of cost, quality, time, design, and flexibility. The book explains the manufacturing competencies upon which the strategic success of the automobile industry depends. The impact of manufacturing competency on strategic success is analyzed and modelled using suitable qualitative and quantitative techniques. Key Features Outlines manufacturing competencies in correlation with successful strategic planning for current manufacturing environment Provides methodology or guidelines for linking defined strategic plans with manufacturing competencies Defines strategic success in the context of the automobile industry Analyses and models manufacturing competency impacts using qualitative and quantitative techniques Develops qualitative models with real-time case studies
Publisher: CRC Press
ISBN: 0429942567
Category : Technology & Engineering
Languages : en
Pages : 260
Book Description
Strategic success of industry depends upon manufacturing competencies (i.e., the competitive advantage to ensure better quality and reliability), which will increase sales and create a sound customer base. Competitive priorities are the operating advantages that are assessed, evaluated, and measured within the parameters of cost, quality, time, design, and flexibility. The book explains the manufacturing competencies upon which the strategic success of the automobile industry depends. The impact of manufacturing competency on strategic success is analyzed and modelled using suitable qualitative and quantitative techniques. Key Features Outlines manufacturing competencies in correlation with successful strategic planning for current manufacturing environment Provides methodology or guidelines for linking defined strategic plans with manufacturing competencies Defines strategic success in the context of the automobile industry Analyses and models manufacturing competency impacts using qualitative and quantitative techniques Develops qualitative models with real-time case studies
The Maze of Banking
Author: Gary Gorton
Publisher: Oxford University Press, USA
ISBN: 0190204834
Category : Business & Economics
Languages : en
Pages : 690
Book Description
Financial crises must be studied in the context of history. The Maze of Banking is a collection of academic papers by Gary Gorton---an expert on the financial crisis of 2007-2008---on the history and analysis of banks, banking, and financial crises spanning the past 175 years. These papers provide the framework for understanding how the financial crisis of 2007-2008 developed and what can be done to promote a stabile banking industry and prevent future economic crises.
Publisher: Oxford University Press, USA
ISBN: 0190204834
Category : Business & Economics
Languages : en
Pages : 690
Book Description
Financial crises must be studied in the context of history. The Maze of Banking is a collection of academic papers by Gary Gorton---an expert on the financial crisis of 2007-2008---on the history and analysis of banks, banking, and financial crises spanning the past 175 years. These papers provide the framework for understanding how the financial crisis of 2007-2008 developed and what can be done to promote a stabile banking industry and prevent future economic crises.