Partitionable sets, almost partitionable sets and their applications

This paper introduces almost partitionable sets to generalize the known concept of partitionable sets. These notions provide a unified frame to construct $\mathbb{Z}$-cyclic patterned starter whist tournaments and cyclic balanced sampling plans excluding contiguous units. The existences of partitionable sets and almost partitionable sets are investigated. As an application, a large number of maximum or maximal optical orthogonal codes are constructed. These maximal optical orthogonal codes fail to be maximum for just one codeword

A Study of Linear Approximation Techniques for SAR Azimuth Processing

The application of the step transform subarray processing techniques to synthetic aperture radar (SAR) was studied. The subarray technique permits the application of efficient digital transform computational techniques such as the fast Fourier transform to be applied while offering an effective tool for range migration compensation. Range migration compensation is applied at the subarray level, and with the subarray size based on worst case range migration conditions, a minimum control system is achieved. A baseline processor was designed for a four-look SAR system covering approximately 4096 by 4096 SAR sample field every 2.5 seconds. Implementation of the baseline system was projected using advanced low power technologies. A 20 swath is implemented with approximately 1000 circuits having a power dissipation of from 70 to 195 watts. The baseline batch step transform processor is compared to a continuous strip processor, and variations of the baseline are developed for a wide range of SAR parameters

According to the Plan: Testing the Influence of Housing Plan Quality on Low-Income Housing Production

For more than 20 years, scholars have assessed a plan’s content to determine the plan’s quality, with quality serving as a proxy for planning efficacy. However, scholars rarely examine the relationship between a plan’s quality and the plan’s intended outcome. Thus, it is unclear whether quality influences planning outcomes or even advances equity. To close this gap, this study assessed a non-random sample of housing plans from 43 cities in California’s Los Angeles and Sacramento regions to observe how cities accommodated low-income housing needs and to observe whether each plan’s quality influenced low-income housing production. The analysis indicates that the plans identified 42 different planning tools to accommodate low-income housing needs, and nearly 60% of the implementing objectives proposed construction programs. Quality is influential after the city’s location, land-use, population, and the plan’s compliance with state housing law are taken into account. In summary, quality illuminated how these cities accommodated low-income housing needs and, in conjunction with other city conditions, quality influences low-income housing production. Due to this non-random sample, this study calls on planning scholars to subject quality to more empirical tests on planning outcomes in other areas to increase quality’s importance in scholarship

Sample design and estimation structures for the National Health Interview Survey, 2016\u20132025

Background: The National Health Interview Survey (NHIS) is one of the major surveys sponsored by the Centers for Disease Control and Prevention\u2019s National Center for Health Statistics (NCHS). NHIS conducts household interviews throughout the United States to collect health-related information from the U.S. civilian noninstitutionalized population. After the 2010 decennial census, NCHS\u2019 Division of Research and Methodology and the Division of Health Interview Statistics collaborated with the U.S. Census Bureau (through an interagency agreement that includes the collection of data in the field) on the NHIS sample redesign.The 2016\u20132025 NHIS sample design uses cost-effective complex sampling techniques including stratification, clustering, and differential sampling rates to achieve several objectives, such as transitioning away from a fully enumerated sample list frame and allowing for flexible annual sample sizes. This report describes these methods.Objectives: This report presents operating characteristics of the NHIS 2016\u20132025 sample design. The general sampling structure is presented, along with a discussion of weighting and variance estimation techniques primarily for 2016\u20132018. This report is organized into four major sections. The first section presents a general overview of NHIS and its sample design. The second section describes the redesign process, updates for 2016\u20132025, and includes general frame and sample design considerations. The third section provides a more detailed description of the sample design and how the sample was selected. The last two sections present a description of the estimators used in NHIS for analyzing and summarizing survey results. Documentation for subsequent changes to the sampling and weighting procedures is available on the NCHS website as separate reports and through each year\u2019s survey description document. This report is intended for general users of NHIS data.Suggested citation: Moriarity C, Parsons VL, Jonas K, Schar BG, Bose J, Bramlett MD. Sample design and estimation structures for the National Health Interview Survey, 2016\u20132025. National Center for Health Statistics. Vital Health Stat 2(191). 2022. DOI: https://dx.doi.org/10.15620/cdc:115394.CS33016