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Almost Unbiased Estimator Using Known Value Of Population Parameter(S) In Sample Surveys, Rajesh Singh, S.B. Gupta, Sachin Malik 2016 Department of Statistics, Banaras Hindu University Varanasi

Almost Unbiased Estimator Using Known Value Of Population Parameter(S) In Sample Surveys, Rajesh Singh, S.B. Gupta, Sachin Malik

Rajesh Singh

An almost unbiased estimator using known value of some population parameter(s) is proposed. A class of estimators is defined which includes Singh and Solanki (2012) and Sahai and Ray (1980), Sisodiya and Dwivedi (1981), Singh, Cauhan, Sawan, and Smarandache (2007), Upadhyaya and Singh (1984), Singh and Tailor (2003) estimators. Under simple random sampling without replacement (SRSWOR) scheme the expressions for bias and mean square error (MSE) are derived. Numerical illustrations are given.


Homeolog Specific Expression Bias, Ronald D. Smith 2016 College of William and Mary

Homeolog Specific Expression Bias, Ronald D. Smith

Biology and Medicine Through Mathematics Conference

No abstract provided.


Heterogeneous Responses To Viral Infection: Insights From Mathematical Modeling Of Yellow Fever Vaccine, James R. Moore 2016 Emory University

Heterogeneous Responses To Viral Infection: Insights From Mathematical Modeling Of Yellow Fever Vaccine, James R. Moore

Biology and Medicine Through Mathematics Conference

No abstract provided.


Elements Of The Mathematical Formulation Of Quantum Mechanics, Keunjae Go 2016 Washington University in Saint Louis

Elements Of The Mathematical Formulation Of Quantum Mechanics, Keunjae Go

Senior Honors Papers / Undergraduate Theses

In this paper, we will explore some of the basic elements of the mathematical formulation of quantum mechanics. In the first section, I will list the motivations for introducing a probability model that is quite different from that of the classical probability theory, but still shares quite a few significant commonalities. Later in the paper, I will discuss the quantum probability theory in detail, while paying a brief attention to some of the axioms (by Birkhoff and von Neumann) that illustrate both the commonalities and differences between classical mechanics and quantum mechanics. This paper will end with a presentation of ...


Facets: Allele-Specific Copy Number And Clonal Heterogeneity Analysis Tool Estimates For High-Throughput Dna Sequencing, Ronglai Shen, Venkatraman Seshan 2016 Memorial Sloan-Kettering Cancer Center

Facets: Allele-Specific Copy Number And Clonal Heterogeneity Analysis Tool Estimates For High-Throughput Dna Sequencing, Ronglai Shen, Venkatraman Seshan

Memorial Sloan-Kettering Cancer Center, Dept. of Epidemiology & Biostatistics Working Paper Series

Allele-specific copy number analysis (ASCN) from next generation sequenc- ing (NGS) data can greatly extend the utility of NGS beyond the iden- tification of mutations to precisely annotate the genome for the detection of homozygous/heterozygous deletions, copy-neutral loss-of-heterozygosity (LOH), allele-specific gains/amplifications. In addition, as targeted gene panels are increasingly used in clinical sequencing studies for the detection of “actionable” mutations and copy number alterations to guide treatment decisions, accurate, tumor purity-, ploidy-, and clonal heterogeneity-adjusted integer copy number calls are greatly needed to more reliably interpret NGS- based cancer gene copy number data in the context of clinical ...


Determining Graduation Rates In Engineering For Community College Transfer Students Using Data Mining, Marcia Laugerman, Diane T. Rover, Mack C. Shelley, Steven K. Mickelson 2016 Iowa State University

Determining Graduation Rates In Engineering For Community College Transfer Students Using Data Mining, Marcia Laugerman, Diane T. Rover, Mack C. Shelley, Steven K. Mickelson

Steven K. Mickelson

This study presents a unique synthesized set of data for community college students entering the university with the intention of earning a degree in engineering. Several cohorts of longitudinal data were combined with transcript-level data from both the community college and the university to measure graduation rates in engineering. The emphasis of the study is to determine academic variables that had significant correlations with graduation in engineering, and levels of these academic variables. The article also examines the utility of data mining methods for understanding the academic variables related to achievement in science, technology, engineering, and mathematics. The practical purpose ...


The Engineering Admissions Partnership Program: A Navigation Strategy For Community College Students Seeking A Pathway Into Engineering, Marcia R. Laugerman, Mack C. Shelley, Steven K. Mickelson, Diane T. Rover 2016 University of Iowa

The Engineering Admissions Partnership Program: A Navigation Strategy For Community College Students Seeking A Pathway Into Engineering, Marcia R. Laugerman, Mack C. Shelley, Steven K. Mickelson, Diane T. Rover

Steven K. Mickelson

This paper presents the evaluation of a program designed to improve transfer outcomes for community college students pursuing an engineering degree. The program, the Engineering Admissions Partnership Program (E-APP), was designed to improve the navigational success of community college transfer students through connections to the university. These connections include coordinated academic advising, peer-mentoring, campus visits, and online social and professional networks. The objective of the study is to determine the efficacy of the E-APP and its interventions, which will be measured by increased participation rates and increased university retention rates for E-APP participants. Outcome data for the students are analyzed ...


Failure Of Surface Color Cues Under Natural Changes In Lighting, David H. Foster, Iván Marín-Franch 2016 University of Manchester

Failure Of Surface Color Cues Under Natural Changes In Lighting, David H. Foster, Iván Marín-Franch

MODVIS Workshop

Color allows us to effortlessly discriminate and identify surfaces and objects by their reflected light. Although the reflected spectrum changes with the illumination spectrum, cone photoreceptor signals can be transformed to give useful cues for surface color. But what happens when both the spectrum and the geometry of the illumination change, as with lighting from the sun and sky? Is it possible, as a matter of principle, to obtain reliable cues by processing cone signals alone? This question was addressed here by estimating the information provided by cone signals from time-lapse hyperspectral radiance images of five outdoor scenes under natural ...


A Note On The Inefficiency Of Competitive Markets For Quality Goods, John R. Schroeter 2016 Iowa State U

A Note On The Inefficiency Of Competitive Markets For Quality Goods, John R. Schroeter

John Schroeter

This note describes and investigates an equilibrium model of a service market in which customers search among many firms for ones offering acceptable combinations of money price and expected waiting time. Although neither firms nor customers possess market power, the noncooperative equilibrium of the model is inefficient: Forcing customers to be more selective in their choices of suppliers can produce Pareto improvements in welfare. This result is due to an externality, in queue accession decisions, which others have identified in related contexts..


Dynamic Corn Supply Functions: A Model With Explicit Optimization, Abebayehu Tegene, Wallace E. Huffman, John A. Miranowski 2016 Iowa State University

Dynamic Corn Supply Functions: A Model With Explicit Optimization, Abebayehu Tegene, Wallace E. Huffman, John A. Miranowski

John Miranowski

Both static and dynamic models have been used to estimate aggregate supply elasticities for annual crops. The early studies relied on static single-equation models in a few variables, assumed static price expectations (e.g., Kohls and Paarlberg), and produced very small estimates of own-price supply elasticities (e.g., 0.07 for corn), Nerlove (1956, 1958a) and Nerlove and Addison showed that models of agricultural supply that incorporated adap tive price expectations and (or) dynamic resource adjustment produced larger estimates of supply elasticities for corn and other agricultural commodities. Additionally, they showed that supply elasticities obtained from static models need not ...


Effects Of Energy Price Rises, Energy Constraints, And Energy Minimization On Crop And Livestock Production Activities, John A. Miranowski 2016 Iowa State University

Effects Of Energy Price Rises, Energy Constraints, And Energy Minimization On Crop And Livestock Production Activities, John A. Miranowski

John Miranowski

During past periods of cheap fossil fuels and abundant agricultural production, farmers and society in general displayed limited interest in energy costs and in crop and livestock production residuals. The events of the 1970's, including rising energy prices, restricted energy supplies, and growing awareness of the Impact of confined livestock feeding on world food supplies, have given rise to interest in new and old technologies that con serve energy use in agriculture and to the need for adjustments in current agricultural production practices.


Factors That Influence Prices Producers Receive For Hogs: Statistical Analysis Of Killsheet And Survey Data, John D. Lawrence 2016 Iowa State University

Factors That Influence Prices Producers Receive For Hogs: Statistical Analysis Of Killsheet And Survey Data, John D. Lawrence

John Lawrence

The Iowa Pork Producers Association surveyed its members in late summer of 1995. Nearly 1,000 usable surveys were returned from the more than 8,000 that were mailed out. In additionto completingand returningthe four-page survey, over 300 producers sent in killsheets from loads ofhogs they had sold. Combining the load-specific qualitycharacteristics from the killsheets with informationabout the operation from the surveymay provide greater insightinto key marketing questions such as


Interpretable High-Dimensional Inference Via Score Maximization With An Application In Neuroimaging, Simon N. Vandekar, Philip T. Reiss, Russell T. Shinohara 2016 University of Pennsylvania

Interpretable High-Dimensional Inference Via Score Maximization With An Application In Neuroimaging, Simon N. Vandekar, Philip T. Reiss, Russell T. Shinohara

UPenn Biostatistics Working Papers

In the fields of neuroimaging and genetics a key goal is testing the association of a single outcome with a very high-dimensional imaging or genetic variable. Oftentimes summary measures of the high-dimensional variable are created to sequentially test and localize the association with the outcome. In some cases, the results for summary measures are significant, but subsequent tests used to localize differences are underpowered and do not identify regions associated with the outcome. We propose a generalization of Rao's score test based on maximizing the score statistic in a linear subspace of the parameter space. If the test rejects ...


Dynamic Duopoly Theory And Rational Expectations, Harvey E. Lapan 2016 Iowa State University

Dynamic Duopoly Theory And Rational Expectations, Harvey E. Lapan

Harvey Lapan

The determination of equilibrium prices and quantities in an oligopolistic market has been a troublesome problem for economic theory# The intrinsic nature of the problem is the interdependence of firms - the profit level of any firm depends upon not only aggregate demand and its own output level, but also on the output level of other firms. Thus, each firm, in choosing its own output level, needs to make some behavioral assumption —or conjecture - about how other firms will respond to these changes in output.


Modeling Consumption With Limited Dependent Variables: Applications To Pork And Cheese, Steven T. Yen, Helen H. Jensen 2016 University of Illinois at Urbana-Champaign

Modeling Consumption With Limited Dependent Variables: Applications To Pork And Cheese, Steven T. Yen, Helen H. Jensen

Helen Jensen

The double-hurdle and infrequency-of-purchase models are applied to pork and cheese consumption using the 1987-88 Nationwide Food Consumption Survey data. Own-price effects on the probability and level of consumption are negative and significant for both pork and cheese, while income and cross-price effects are not significant.


Estimated Correlations Among Days For The Combined 1989-91 Csfii, Alicia L. Carriquiry, Wayne A. Fuller, Juan José Goyeneche, Helen H. Jensen 2016 Iowa State University

Estimated Correlations Among Days For The Combined 1989-91 Csfii, Alicia L. Carriquiry, Wayne A. Fuller, Juan José Goyeneche, Helen H. Jensen

Helen Jensen

Data obtained from dietary intake surveys are often used to estimate the proportion of the population with insufficient (or excessive) intake of certain dietary components. The authors present a two-step method for obtaining smooth estimates of day-to-day correlations for nutrient intake, and their standard errors, when dietary data are collected on consecutive days.


A Critique Of Two Methods For Assessing The Nutrient Adequacy Of Diets, Helen H. Jensen, Sarah M. Nusser, Howard Riddick, Laura Sands 2016 Iowa State University

A Critique Of Two Methods For Assessing The Nutrient Adequacy Of Diets, Helen H. Jensen, Sarah M. Nusser, Howard Riddick, Laura Sands

Helen Jensen

The adequacy of diets can be assessed using several analytical approaches. This paper reviews two methods of assessment: a cutoff method, which estimates the percentage of the population having usual intakes below a given value; and a probability method, which assesses the percentage of the population whose usual intakes are below their individual requirements. First, the concept of usual nutrient intakes and the problems associated with estimating usual intake distributions are discussed. Next, the two methods of dietary assessment and their related assumptions are described and compared. The more specific inference of the probability method is shown to rely on ...


A Transformation Approach To Estimating Usual Intake Distributions, Sarah M. Nusser, Alicia L. Carriquiry, Helen H. Jensen, Wayne A. Fuller 2016 Selected Works

A Transformation Approach To Estimating Usual Intake Distributions, Sarah M. Nusser, Alicia L. Carriquiry, Helen H. Jensen, Wayne A. Fuller

Helen Jensen

Design of effective food and nutrition policies, efficient allocation of resources, and more precise targeting of food programs require good estimates of the percentage of the population with deficient, or excess, nutrient or other food component intake. An individual's mean daily intake of the dietary component is a good estimate of the individual's dietary status. However, to evaluate dietary adequacy of a population it is necessary to obtain an estimate of the distribution of usual intakes. Often, the distribution of usual intakes is estimated from the distribution of mean daily intakes. Two problems arise. First, distributions of usual ...


A User's Guide To C-Side (Software For Intake Distribution Estimation). Version 1.0. Dietary Assessment Research Series Report 8, Sarah M. Nusser, Alicia L. Carriquiry, Kevin W. Dodd, Wayne A. Fuller, Helen H. Jensen 2016 Iowa State University

A User's Guide To C-Side (Software For Intake Distribution Estimation). Version 1.0. Dietary Assessment Research Series Report 8, Sarah M. Nusser, Alicia L. Carriquiry, Kevin W. Dodd, Wayne A. Fuller, Helen H. Jensen

Helen Jensen

C-SIDE implements the method for estimating usual intake distributions either for dietary components consumed daily or for components consumed less frequently. This manual is divided into four parts: an introduction listing equipment and data requirements; a description of the use of the software; a description of the output that can be produced with C-SIDE and an examples section. The user should be familiar with standard statistical and computer techniques and terminology. (Software available only from the Department of Statistics, Iowa State University, (515) 294-5242. $300.00)


Dynamic Corn Supply Functions: A Model With Explicit Optimization, Abebayehu Tegene, Wallace E. Huffman, John A. Miranowski 2016 Iowa State University

Dynamic Corn Supply Functions: A Model With Explicit Optimization, Abebayehu Tegene, Wallace E. Huffman, John A. Miranowski

Wallace Huffman

Both static and dynamic models have been used to estimate aggregate supply elasticities for annual crops. The early studies relied on static single-equation models in a few variables, assumed static price expectations (e.g., Kohls and Paarlberg), and produced very small estimates of own-price supply elasticities (e.g., 0.07 for corn), Nerlove (1956, 1958a) and Nerlove and Addison showed that models of agricultural supply that incorporated adap tive price expectations and (or) dynamic resource adjustment produced larger estimates of supply elasticities for corn and other agricultural commodities. Additionally, they showed that supply elasticities obtained from static models need not ...


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