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Here is a clear exposition of nonparametric smoothing methods for statisticians. The focus is applied rather than theoretical, with a large number of illustrations from different disciplines.
Mathematical statistics --- Smoothing (Statistics) --- Smoothing (Statistics). --- Basic Sciences. Statistics --- Experimental Design. --- 519.5 --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics
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Smoothing (Statistics) --- Lissage (Statistique) --- Stochastic processes --- Kernel functions --- Functions, Kernel --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Functions of complex variables --- Geometric function theory --- Statistique non paramétrique --- Estimation, Théorie de l' --- Analyse de régression
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Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the recent availability of ample desktop and laptop computing power, smoothing methods are now finding their ways into everyday data analysis by practitioners. While scores of methods have proved successful for univariate smoothing, ones practical in multivariate settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing methods derived through roughness penalties that are suitable for both univariate and multivariate problems. In this book, the author presents a comprehensive treatment of penalty smoothing under a unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian responses as well as with censored life time data; (ii) density and conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with censored life time data and covariates. The unifying themes are the general penalized likelihood method and the construction of multivariate models with built-in ANOVA decompositions. Extensive discussions are devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational and data analytical tools discussed in the book are implemented in R, an open-source clone of the popular S/S- PLUS language. Code for regression has been distributed in the R package gss freely available through the Internet on CRAN, the Comprehensive R Archive Network. The use of gss facilities is illustrated in the book through simulated and real data examples.
Mathematical statistics --- Analysis of variance --- Spline theory --- Smoothing (Statistics) --- #PBIB:2003.4 --- Spline functions --- ANOVA (Analysis of variance) --- Variance analysis --- Approximation theory --- Interpolation --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Experimental design --- Probabilities. --- Statistics . --- Probability Theory and Stochastic Processes. --- Statistical Theory and Methods. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk
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519.23 --- Linear models (Statistics) --- Smoothing (Statistics) --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Models, Linear (Statistics) --- Mathematical models --- Mathematical statistics --- 519.23 Statistical analysis. Inference methods --- Statistical analysis. Inference methods --- Regression Analysis --- Linear models (Statistics). --- Regression analysis. --- Smoothing (Statistics). --- Analyse de régression --- Statistique mathématique --- Analyse de variance
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The The primary primary aim aim of of this this book book is is to to explore explore the the use use of of nonparametric nonparametric regres regres sion sion (i. e. , (i. e. , smoothing) smoothing) methodology methodology in in testing testing the the fit fit of of parametric parametric regression regression models. models. It It is is anticipated anticipated that that the the book book will will be be of of interest interest to to an an audience audience of of graduate graduate students, students, researchers researchers and and practitioners practitioners who who study study or or use use smooth smooth ing ing methodology. methodology. Chapters Chapters 2-4 2-4 serve serve as as a a general general introduction introduction to to smoothing smoothing in in the the case case of of a a single single design design variable. variable. The The emphasis emphasis in in these these chapters chapters is is on on estimation estimation of of regression regression curves, curves, with with hardly hardly any any mention mention of of the the lack-of lack-of fit fit problem. problem. As As such, such, Chapters Chapters 2-4 2-4 could could be be used used as as the the foundation foundation of of a a graduate graduate level level statistics statistics course course on on nonparametric nonparametric regression. regression.
Mathematical statistics --- Smoothing (Statistics) --- Nonparametric statistics. --- Goodness-of-fit tests. --- Lissage (Statistique) --- Statistique non-paramétrique --- Goodness-of-fit tests --- Nonparametric statistics --- 519.2 --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Statistique non-paramétrique --- Applied mathematics. --- Engineering mathematics. --- Applications of Mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics
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America's expansion to one of the richest nations in the world was partly due to a steady increase in labor productivity, which in turn depends upon the invention and deployment of new technologies and on investments in both human and physical capital. The accumulation of human capital-the knowledge and skill of workers-has featured prominently in American economic leadership over the past two centuries. Human Capital in History brings together contributions from leading researchers in economic history, labor economics, the economics of education, and related fields. Building on Claudia Goldin's landmark research on the labor history of the United States, the authors consider the roles of education and technology in contributing to American economic growth and well-being, the experience of women in the workforce, and how trends in marriage and family affected broader economic outcomes. The volume provides important new insights on the forces that affect the accumulation of human capital.
Human capital --- Labor supply --- Labor force --- Labor force participation --- Labor pool --- Work force --- Workforce --- Labor market --- Labor mobility --- Manpower --- Manpower policy --- History. --- History --- E-books --- Human capital - United States --- Labor supply - United States - History --- expansion, labor, economics, finance, money, research, academic, scholarly, analysis, textbook, college, university, wealth, inventions, technology, leadership, modern, contemporary, history, historical, workforce, workers, women, marriage, gender, equality, equity, inequality, social justice, society, education, skilled, unskilled, jobs, high school, graduation, elementary, secondary, immigration, immigrant, assimilation, health, income, class, classism, earnings.
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Business forecasting --- Smoothing (Statistics) --- Regression analysis --- Prévision commerciale --- Lissage (Statistique) --- Analyse de régression --- Statistical methods --- Méthodes statistiques --- Regression Analysis --- AA / International- internationaal --- 331.061 --- 304.5 --- 65.012.23 --- -Smoothing (Statistics) --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Business --- Business forecasts --- Forecasting, Business --- Business cycles --- Economic forecasting --- Economische vooruitzichten. --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie. --- Prediction of development. Business forecasting --- Forecasting --- 65.012.23 Prediction of development. Business forecasting --- Prévision commerciale --- Analyse de régression --- Méthodes statistiques --- Statistical methods. --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie --- Economische vooruitzichten --- Business forecasting - Statistical methods
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Mathematical statistics --- Smoothing (Statistics) --- Statistique mathématique --- Lissage (Statistique) --- Data processing --- Informatique --- 519.246 --- -Smoothing (Statistics) --- AA / International- internationaal --- 303.0 --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Statistical methods --- Data processing. --- Smoothing (Statistics). --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistique mathématique --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Statistique non paramétrique --- Mathematical statistics - Data processing
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In this book, the author builds on decades of complex research to examine the gender pay gap and the unequal distribution of labor between couples in the home. The author argues that although public and private discourse has brought these concerns to light, the actions taken - such as a single company slapped on the wrist or a few progressive leaders going on paternity leave - are the economic equivalent of tossing a band-aid to someone with cancer. These solutions, the author writes, treat the symptoms and not the disease of gender inequality in the workplace and economy. Here, the author points to data that reveals how the pay gap widens further down the line in women's careers, about 10 to 15 years out, as opposed to those beginning careers after college. She examines five distinct groups of women over the course of the twentieth century: cohorts of women who differ in terms of career, job, marriage, and children, in approximated years of graduation - 1900s, 1920s, 1950s, 1970s, and 1990s - based on various demographic, labor force, and occupational outcomes. The book argues that our entire economy is trapped in an old way of doing business; work structures have not adapted as more women enter the workforce. Gender equality in pay and equity in home and childcare labor are flip sides of the same issue, and the author frames both in the context of a serious empirical exploration that has not yet been put in a long-run historical context. This book offers a deep look into census data, rich information about individual college graduates over their lifetimes, and various records and sources of material to offer a new model to restructure the home and school systems that contribute to the gender pay gap and the quest for both family and career. --
Pay equity --- Wages --- Dual-career families --- SOCIAL SCIENCE / Gender Studies --- SOCIAL SCIENCE / Sociology / Marriage & Family --- Women --- Égalité de rémunération --- Salaires --- Familles à double carrière --- SOCIAL SCIENCE / Gender Studies. --- SOCIAL SCIENCE / Sociology / Marriage & Family. --- BUSINESS & ECONOMICS / Careers / General --- Dual-career families. --- Pay equity. --- Women employees --- Comparable worth --- Equal pay for comparable work --- Equal pay for work of comparable value --- Equity, Pay --- Worth, Comparable --- Career couples --- Couples, Dual-income --- Couples, Two-career --- Dual-career couples --- Dual-career marriage --- Dual-income couples --- Two-career couples --- Two-earner families --- Working couples --- Families --- Work and family --- Femmes --- Women. --- Salaries, etc. --- United States. --- AB --- ABSh --- Ameerika Ühendriigid --- America (Republic) --- Amerika Birlăshmish Shtatlary --- Amerika Birlăşmi Ştatları --- Amerika Birlăşmiş Ştatları --- Amerika ka Kelenyalen Jamanaw --- Amerika Qūrama Shtattary --- Amerika Qŭshma Shtatlari --- Amerika Qushma Shtattary --- Amerika (Republic) --- Amerikai Egyesült Államok --- Amerikanʹ Veĭtʹsėndi͡avks Shtattn --- Amerikări Pĕrleshu̇llĕ Shtatsem --- Amerikas Forenede Stater --- Amerikayi Miatsʻyal Nahangner --- Ameriketako Estatu Batuak --- Amirika Carékat --- AQSh --- Ar. ha-B. --- Arhab --- Artsot ha-Berit --- Artzois Ha'bris --- Bí-kok --- Ē.P.A. --- EE.UU. --- Egyesült Államok --- ĒPA --- Estados Unidos --- Estados Unidos da América do Norte --- Estados Unidos de América --- Estaos Xuníos --- Estaos Xuníos d'América --- Estatos Unitos --- Estatos Unitos d'America --- Estats Units d'Amèrica --- Ètats-Unis d'Amèrica --- États-Unis d'Amérique --- Fareyniḳṭe Shṭaṭn --- Feriene Steaten --- Feriene Steaten fan Amearika --- Forente stater --- FS --- Hēnomenai Politeiai Amerikēs --- Hēnōmenes Politeies tēs Amerikēs --- Hiwsisayin Amerikayi Miatsʻeal Tērutʻiwnkʻ --- Istadus Unidus --- Jungtinės Amerikos valstybės --- Mei guo --- Mei-kuo --- Meiguo --- Mî-koet --- Miatsʻyal Nahangner --- Miguk --- Na Stàitean Aonaichte --- NSA --- S.U.A. --- SAD --- Saharat ʻAmērik --- SASht --- Severo-Amerikanskie Shtaty --- Severo-Amerikanskie Soedinennye Shtaty --- Si͡evero-Amerikanskīe Soedinennye Shtaty --- Sjedinjene Američke Države --- Soedinennye Shtaty Ameriki --- Soedinennye Shtaty Severnoĭ Ameriki --- Soedinennye Shtaty Si͡evernoĭ Ameriki --- Spojené obce severoamerick --- Spojené staty americk --- SShA --- Stadoù-Unanet Amerika --- Stáit Aontaithe Mheirice --- Stany Zjednoczone --- Stati Uniti --- Stati Uniti d'America --- Stâts Unîts --- Stâts Unîts di Americhe --- Steatyn Unnaneysit --- Steatyn Unnaneysit America --- SUA --- Sŭedineni amerikanski shtati --- Sŭedinenite shtati --- Tetã peteĩ reko Amérikagua --- U.S. --- U.S.A. --- United States of America --- Unol Daleithiau --- Unol Daleithiau America --- Unuiĝintaj Ŝtatoj de Ameriko --- US --- USA --- Usono --- Vaeinigte Staatn --- Vaeinigte Staatn vo Amerika --- Vereinigte Staaten --- Vereinigte Staaten von Amerika --- Verenigde State van Amerika --- Verenigde Staten --- VS --- VSA --- Wááshindoon Bikéyah Ałhidadiidzooígí --- Wilāyāt al-Muttaḥidah --- Wilāyāt al-Muttaḥidah al-Amirīkīyah --- Wilāyāt al-Muttaḥidah al-Amrīkīyah --- Yhdysvallat --- Yunaeted Stet --- Yunaeted Stet blong Amerika --- ZDA --- Združene države Amerike --- Zʹi͡ednani Derz͡havy Ameryky --- Zjadnośone staty Ameriki --- Zluchanyi͡a Shtaty Ameryki --- Zlucheni Derz͡havy --- ZSA --- ABŞ --- Amerikanʹ Veĭtʹsėndi͡avks Shtattnė --- É.-U. --- ÉU --- Saharat ʻAmērikā --- Spojené obce severoamerické --- Spojené staty americké --- Stáit Aontaithe Mheiriceá --- Wááshindoon Bikéyah Ałhidadiidzooígíí --- Adrienne Rich. --- Age of majority. --- American Community Survey. --- Amy Klobuchar. --- Assisted reproductive technology. --- Associate degree. --- BAD RAP (organization). --- Barclays. --- Bill Clinton. --- Birth control. --- Buy-In. --- By-law. --- Cardiology. --- Career. --- Caregiver. --- Child care. --- Civil engineer. --- Clerk. --- Clothing. --- Competition. --- Computer scientist. --- Credit Suisse. --- Criticism. --- Culprit. --- Customer. --- De jure. --- Deed. --- Defendant. --- Dermatology. --- E. B. White. --- Economic history. --- Economic sector. --- Employment. --- Family medicine. --- Fertility. --- Financial services. --- First professional degree. --- Gary Becker. --- Graduation. --- Greenwich Village. --- Group One. --- High school movement. --- Honorific. --- Household. --- In vitro fertilisation. --- Income. --- Insurance. --- Investment banking. --- Jeane Kirkpatrick. --- Job security. --- Kaiser Permanente. --- Late bloomer. --- Lawsuit. --- Lesbian. --- Make A Difference. --- Marital status. --- Master of Arts. --- Michele Bachmann. --- Mother. --- Movie theater. --- National Bureau of Economic Research. --- National Education Association. --- Newbie. --- Official statistics. --- Parent-teacher conference. --- Pediatrics. --- Personal Satisfaction. --- Pharmacist. --- Physicist. --- Planned Parenthood. --- Pregnancy. --- Preschool. --- Psychologist. --- Racial segregation in the United States. --- Radcliffe College. --- Schlesinger Library. --- School district. --- Science education. --- Separate school. --- Sewing. --- Sharing. --- Shirley Chisholm. --- Shorthand. --- Sitting. --- Spencer Tracy. --- Technological change. --- The New York Times. --- Thomas Cook Group. --- Thought experiment. --- Three Girls (painting). --- Tim Cook. --- Typing. --- Underrepresented group. --- Unemployment. --- University of Minnesota. --- Virginia Apgar. --- Workplace. --- Work–life balance. --- Writing. --- Yvonne Brathwaite Burke.
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