10,302 research outputs found
Resampledata: Data sets for mathematical statistics with re- sampling in r
No full textR package version 0.3.1, 2019. [Online].
Package of data sets from Mathematical Statistics with Resampling in R (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg
Laura L. Smith
No full textLaura L. Smith receives an award for 10 years of service in Student Affairs. (l-r) President William Perry, Laura L. Smith, Vice President of Student Affairs Dan Nadler.https://thekeep.eiu.edu/years_of_service_2013/1110/thumbnail.jp
Box 44, Neg. No. 52652: Laura Smith
No full textThis black and white photograph features a portrait of Laura Smith - she is sitting and is wearing a light colored dress. Laura Smith ordered the photograph.https://scholars.fhsu.edu/stafford_county/6156/thumbnail.jp
Mindscapes: Laura Riding's poetry and poetics /
Get PDFTese (doutorado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão.Esta tese propõe uma leitura revisionista da poesia contemporânea através do exame do caso de um dos mais esquecidos escritores norte-americanos do século XX: Laura (Riding) Jackson (1901-1991). O objetivo é demonstrar que Riding não apenas possuía uma poética definida e singular, mas que ela permanece uma das instâncias mais extremas e paradoxais do modernismo anglo-americano, a ponto de Riding abandonar a escrita da poesia em 1938. Recorrendo a conceitos de "formação do cânone" bem como às noções de "discurso" e "função do autor", em Foucault, investigo a construção do cânone da poesia moderna anglo-americana, recuperando o contexto e as circunstâncias da ocultação de Riding. Enquanto cubro os "discursos" poéticos em circulação na primeira metade do século XX-o "imagismo" de Pound, a "dissociação da sensibilidade", "impersonalidade" e "tradição" de Eliot, a "unidade orgância" e "ambigüidade" da Nova Crítica-ofereço um panorama crítico de modernismos alternativos sendo articulados à época. Minha intenção é demonstrar que os poemas de Riding são expressões vigorosas de um escritor para quem "a mente pensando se torna a força ativa do poema", para usar a apta formulação de Charles Bernstein. Entre minhas descobertas sobre as várias e complexas razões que levaram à não-canonização de Riding estão a hegemonia da Nova Crítica, o exílio voluntário de Riding da cena literária (onde são feitas ou desfeitas as reputações), sua recusa em ser antologiada, bem como em ser explicada em termos críticos que não os dela. Todos esses fatores, mais a "dificuldade" de sua poesia, contribuíram para fazer de Riding "a maior poeta esquecida da poesia norte-americana", como escreveu Kenneth Rexroth. Ajudado pelos insights de dois importantes críticos de poesia norte-americana, Charles Bernstein e Marjorie Perloff, defendo que a "poesia da mente" de Riding-onde o que está em jogo é que o que pensamos ser a nossa realidade-representa uma mudança radical no paradigma da poética modernista: de uma poesia centrada na imagem para uma poesia centrada na linguagem. Focalizando a experiência consciente e o tempo duracional do pensamento presente em seus poemas, concluo que as "pensagens" de Riding têm o objetivo preciso de constatar um fato universal: enquanto seres humanos e pensantes, estamos numa condição permanente chamada linguagem
Alien Registration- Smith, Laura R. (Chapman, Aroostook County)
Get PDFhttps://digitalmaine.com/alien_docs/26391/thumbnail.jp
Heritage tourism: a case study of the Laura Ingalls Wilder Heritage Site at Pepin, Wisconsin
Get PDFPlan BMany things must be taken into consideration when developing a heritage tourism site. It can be a wonderful opportunity for the community involved to benefit economically and historically. Heritage tourism can keep alive the heritage and traditions of the communities past. When it is discovered that a heritage site exists, the first step is to consult with the community. A site will not succeed without the acceptance and assistance from the community involved. Once the interest is known, the development process can proceed. After determining that there is a heritage tourism site possibility in their area, a commumity must do research to determine the feasibility of the site, what will make it a success, and how to obtain that success. This study will examine a community with a heritage tourism site that has been successful in developing and maintaining it's site. By conducting this study, other communities seeking information for developing their site will have an example and tool to work with. The site chosen for this study is the Laura Ingalls Wilder site in Pepin, Wisconsin. The town is rich with it's heritage associated with Laura Ingalls Wilder. The development and success for this town will be documented through this study. Laura Ingails Wilder is a perfect choice for examining heritage tourism. The author of many American Pioneer books, she has become famous all over the world. In turn all places that she or her family members lived are or are becoming heritage tourism sites. There are older ones that have been in progress for some years, such as the one in Pepin, and there are ones that are being discovered through the popularity of new books written about Laura's family. These communities would benefi greatly from the information this study will produce. Without the bene-fit of this knowledge communities who are unaccustomed to tourism or the way the other Laura Ingalls Wilder sites operate, may make terrible errors in development, tarnishing the site. This may also reflect badly on the other Laura Ingalls Wilder sites. It is important for new Wilder sites to examine all information and know exactly what they are doing when developing the site. If all the Laura Ingalls Wilder sites can benefit from each other's knowledge and experience it will greatly increase the market for all sites. The more detailed and expansive the sites are about their knowledge and sites to see, the more people are going to want to travel to as many sites as possible, learning all they can about the life of Laura Ingalls Wilder and her family. These sites not only attract Laura Ingalls Wilder fans but all people that are interested in the American Pioneer period of the United States history. This study will provide the knowledge for communities who are developing heritage tourism sites, especially those focusing on Laura Ingalls Wilder. This is a very important study for tourism and especially heritage tourism. When a heritage site is discovered communities run into the barrier of not having the experience and knowledge to develop the site properly. This study will analyze tourism in Pepin, Wisconsin to determine it's successfulness due to the fact that it is a Laura Ingalls Wilder heritage tourism site, and Wfit was developed in a way to provide tourists with a view of Laura Ingalls Wilder's past and the past of many Pioneer Americans. By studying this subject it will allow for many people to benefit. Tourist who are seeking the pleasure of the knowledge of the past, and communities who want to preserve their past and profit from tourism
The marriage record of Smith, C. R. C. and Yates, Laura C
No full textMarriage license for C.R.C. Smith and Laura C. Yates. William F. Nigels was the officiant
Smith, Benjamin R.
No full textBody cremated. Laura L. Smith - wifehttps://stars.library.ucf.edu/cfm-ch-memoranda-1940/1423/thumbnail.jp
Little Sir Echo / HELLO (HELLO) / Original Version by / LAURA R. SMITH / & J. S. FEARIS / Verse & Revised Arrangement by / ADELE GIRARD / & JOE MARSALA
No full textBox no. 1Laura R. Smith and J.S. Fearis: Little Sir Echo; The Sun Music Publishing; music printItem type: single sheet | Content type: music and text | Writing material: pencil | Counting of pages: page numbersvocal-instrumental score; instrumental solo | voice; piano; ukulele; guitar; accordion | staff notation; tonic sol-fa"Sometimes, I hear you voice so very distinctly [...]
Development of Bayesian Geostatistical Models with Applications in Malaria Epidemiology
Get PDFmethods enables model fit. A common assumption in geostatistical modeling of malaria data is the stationarity, that is the spatial correlation is a function of distance between locations and not of the locations themselves. This hypothesis does not always hold, especially when modeling malaria over large areas, hence geostatistical models that take into account non-stationarity need to be assessed. Fitting geostatistical models requires repeated inversions of the variance-covariance matrix modeling geographical dependence. For very large number of data locations matrix inversion is considered infeasible. Methods for optimizing this computation are needed. In addition, the relation between environmental factors and malaria risk is often not linear and parametric functions may not be able to determine the shape of the relationship. Nonparametric geostatistical regression models that allow the data to determine the form of the environment-malaria relation need to be further developed and applied in malaria mapping. The aim of this thesis was to develop appropriate models for non-stationary and large geostatistical data that can be applied in the field of malaria epidemiology to produce accurate maps of malaria distribution. The main contributions of this thesis are the development of methods for: (i) analyzing non-stationary malaria survey data; (ii) modeling the nonlinear relation between malaria risk and environment/climatic conditions; (iii) modeling geostatistical mortality data collected at very large number of locations and (iv) adjusting for seasonality and age in mapping heterogeneous malaria survey data. Chapter 2 assessed the spatial effect of bednets on all-cause child mortality by analyzing data from a large follow-up study in an area of high perennial malaria transmission in Kilombero Valley, southern Tanzania. The results indicated a lack of community effect of bednets density possibly because of the homogeneous characteristic of nets coverage and the small proportion of re-treated nets in the study area. The mortality data of this application were collected over 7, 403 locations. To overcome large matrix inversion a Bayesian geostatistical model was developed. This model estimates the spatial process by a subset of locations and approximates the location-specific random effects by a weighted sum of the subset of location-specific random effects with the weights inversely proportional to the separation distance. In Chapter 3 a Bayesian non-stationary model was developed by partitioning the study region into fixed subregions, assuming a separate stationary spatial process in each tile and taking into account between-tile correlation. This methodology was applied on malaria survey data extracted from the MARA database and produced parasitaemia risk maps in Mali. The predictive ability of the non-stationary model was compared with the stationary analogue and the results showed that the stationarity assumption influenced the significance of environmental predictors as well as the the estimation of the spatial parameters. This indicates that the assumptions about the spatial process play an important role in inference. Model validation showed that the non-stationary model had better predictive ability. In addition, experts opinion suggested that the parasitaemia risk map based on the nonstationary model reflects better the malaria situation in Mali. This work revealed that non-stationarity is an essential characteristic which should be considered when mapping malaria. Chapter 4 employed the above non-stationary model to produce maps of malaria risk in West Africa considering as fixed tiles the four agro-ecological zones that partition the region. Non-linearity in the relation between parasitaemia risk and environmental conditions was assessed and it was addressed via P-splines within a Bayesian geostatistical model formulation. The model allowed a separate malaria-environment relation in each zone. The discontinuities at the borders between the zones were avoided since the spatial correlation was modeled by a mixture of spatial processes over the entire study area, with the weights chosen to be exponential functions of the distance between the locations and the centers of the zones corresponding to each of the spatial processes. The above modeling approach is suitable for mapping malaria over areas with an obvious fixed partitioning (i.e. ecological zones). For areas where this is not possible, a nonstationary model was developed in Chapter 5 by allowing the data to decide on the number and shape of the tiles and thus to determine the different spatial processes. The partitioning of the study area was based on random Voronoi tessellations and model parameters were estimated via reversible jump Markov chain Monte Carlo (RJMCMC) due to the variable dimension of the parameter space. In Chapter 6 the feasibility of using the recently developed mathematical malaria transmission models to adjust for age and seasonality in mapping historical malaria survey data was investigated. In particular, the transmission model was employed to translate age heterogeneous survey data from Mali into a common measure of transmission intensity. A Bayesian geostatistical model was fitted on the transmission intensity estimates using as covariates a number of environmental/climatic variables. Bayesian kriging was employed to produce smooth maps of transmission intensity, which were further converted to age specific parasitaemia risk maps. Model validation on a number of test locations showed that this transmission model gives better predictions than modeling directly the prevalence data. This approach was further validated by analyzing the nationally representative malaria surveys data derived from the Malaria Indicator surveys (MIS) in Zambia. Although MIS data do not have the same limitations with the historical data, the purpose of the analyzes was to compare the maps obtained by modeling 1) directly the raw prevalence data and 2) transmission intensity data derived via the transmission model. Both maps predicted similar patterns of malaria risk, however the map based on the transmission model predicted a slightly higher lever of endemicity. The use of transmission models on malaria mapping enables adjusting for seasonality and age dependence of malaria prevalence and it includes all available historical data collected at different age groups
- …
