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version 9.0 software computer program's general linear model (glm) procedure  (SAS institute)


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    SAS institute version 9.0 software computer program's general linear model (glm) procedure
    Version 9.0 Software Computer Program's General Linear Model (Glm) Procedure, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/general+linear+model+program/general+linear+model+computer+algorithm/pm40338863-94-25-19
    Average 90 stars, based on 1 article reviews
    version 9.0 software computer program's general linear model (glm) procedure - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Data on the effects of brewery sludge and blended NPS fertilizer rates on yield and yield components of maize ( Zea Mays L.) in North Mecha District, Northwestern Ethiopia
    Article Snippet: All the collected data were subjected to analysis of variance (ANOVA) and the analysis was carried out using the SAS version 9.0 software computer program's General Linear Model (GLM) procedure .

    Article Title: Data on the effects of brewery sludge and blended NPS fertilizer rates on yield and yield components of maize ( Zea Mays L.) in North Mecha District, Northwestern Ethiopia
    Article Snippet: The collected data were subjected to analysis of variance (ANOVA) and the analysis was carried out using the SAS version 9.0 software computer program's General Linear Model (GLM) procedure .

    Article Title: The effect of seed and nitrogen-phosphorous fertilizer rates on growth and yield components of bread wheat ( Triticum aestivum L.) in Burie District, Northwestern Ethiopia: Dataset article
    Article Snippet: All the collected data were subjected to analysis of variance (ANOVA) which was carried out using the SAS version 9.0 software computer program's General Linear Model (GLM) procedure [1]. the residuals were evaluated, as described in Montgomery [2], to confirm the normal distribution and homogeneous variance model assumptions on the error terms for each response variable.

    Article Title: The effects of seedling transplanting on growth and yield performance of maize ( Zea mays L.) for climate change resilience in Burie District, Northwestern Ethiopia: Dataset Article
    Article Snippet: The collected data were subjected to analysis of variance (ANOVA) and the analysis was carried out using the SAS version 9.4 software computer program's General Linear Model (GLM) procedure .

    Article Title: Control Points To Reduce Movement of Central Nervous System Tissue during Beef Slaughter
    Article Snippet: Calculated GFAP concentrations were analyzed for each carcass site using the mixed model computer algorithm of SAS (16), with carcass identification number included as a random effect.

    Article Title: Data on effect of mulches on growth and fruit yield of watermelon ( Citrullus lanatus Thunb.) varieties in west Dembia district, central Gondar zone, Ethiopia
    Article Snippet: All the collected data were subjected to analysis of variance (ANOVA) and the analysis was carried out using the SAS version 9.4 software computer program's General Linear Model (GLM) procedure [1].

    Article Title: From brewery waste to agricultural wealth: Enhancing nitrogen use efficiency and productivity of maize through brewery sludge and blended NPS fertilizer in North Mecha District, Northwestern Ethiopia.
    Article Snippet: The data collected in this experiment were collected following standardized protocols and the analysis was carried out using the SAS version 9.0 software computer program’s general linear model (GLM) procedure [63].

    Article Title: From brewery waste to agricultural wealth: Enhancing nitrogen use efficiency and productivity of maize through brewery sludge and blended NPS fertilizer in North Mecha District, Northwestern Ethiopia
    Article Snippet: The data collected in this experiment were collected following standardized protocols and the analysis was carried out using the SAS version 9.0 software computer program’s general linear model (GLM) procedure [ ].



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