University of New Hampshire at Manchester

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    85516 research outputs found

    Extension County Foresters - November 2024

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    North Haverhill Fair 4-H Exhibit Hall Information Packet - 2024

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    Swalwell Rapper Sword Dancers and a fiddle player

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    The Swalwell Rapper Sword Dancers performing on a large lawn with a fiddle player.https://scholars.unh.edu/cdss_photos/1030/thumbnail.jp

    Prevention Innovations Spring 2024 News

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    From a Shorter Winter Season to More Storm Damage: New Hampshire Outdoor Recreation Providers Feel Climate Impacts Far More than Visitors

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    In this brief, the authors examine to what extent outdoor recreation providers and visitors in New Hampshire are impacted by annual climatic conditions representative of long-term trends, specifically, through the 2024–2028 New Hampshire Statewide Comprehensive Outdoor Recreation Plan (SCORP). For the first time, the New Hampshire SCORP included an investigation of climate-related impacts on outdoor recreation from the perspective of both visitors and providers. The findings of the study uncovered notable disparities in how New Hampshire’s outdoor recreation providers and visitors perceive climate conditions’ impact on outdoor recreation, particularly in the categories of “winter” and “extreme weather.” Understanding the perspectives of both providers and visitors is critical to outdoor recreation planning because of outdoor recreation’s contributions to the state economy and the role it plays in incentivizing people to live in New Hampshire

    Imputation Strategies for Different Categories of Missing Data

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    Addressing missing data in research is crucial for ensuring the reliability and validity of study findings, yet it remains a significant challenge. This study investigates the impact of missing data on research outcomes and explores the underutilization of existing tools for managing missingness, potentially leading to gaps in critical information with tangible implications for decision-making processes (Dziura et al.). Focusing on the different categories of missing data—Missing Completely At Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR)—this research examines various imputation strategies tailored to each category. Specifically, we compare the efficacy of several model-based imputation methods, including K-Nearest Neighbors, Maximum Likelihood Estimation, and Stepwise Regression, in predicting missing values. Through comprehensive analysis and comparison, this study aims to identify the most effective imputation approach for addressing missing data, thereby enhancing the robustness and reliability of research findings in both academic and practical contexts

    Expert Comment: Princess Kate’s Questionable Photo and Health Rumors Fracture Public Trust in British Monarchy

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    Annual report of the town officers of the town of Stratford, New Hampshire for the year ending December 31, 2023.

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    This is an annual report containing vital statistics for a town/city in the state of New Hampshire

    Annual report, town of Gilford, New Hampshire for the year ending December 31, 2023.

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    This is an annual report containing vital statistics for a town/city in the state of New Hampshire

    Bidford Morris dancers lined up outdoors, ca. 1910

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    Bidford Morris team lined up, two rows of the three dancers facing each other, to begin dancing. Dancers accompained by a Betty, Fool, and fiddle player. Partially illegible note on back reads [illegible] Morris Bidford Morris dancers c. 1910 ; ca. 1910.https://scholars.unh.edu/cdss_photos/1006/thumbnail.jp

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