检索结果-内蒙古大学图书馆

descriptive statistics for cardiothoracic surgeons: part 2-the foundation of data interpretation

INDIAN JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY 2025年第1期41卷 89-110页

作者： Ahmed, H. Shafeeq Bangalore Med Coll & Res Inst KR Rd Bangalore 560002 Karnataka India

descriptive statistics are essential for summarizing and interpreting clinical data in cardiothoracic surgery. Understanding measures of central tendency and dispersion, such as mean, median, range, variance, and standard deviation, provides insights into patient outcomes and surgical effectiveness. Confidence intervals offer a range for population parameters, enhancing decision-making precision. Data visualization tools like histograms, box plots, and scatter plots illustrate distributions and relationships. Interpreting tables and figures accurately, recognizing biases, and evaluating statistical validity are crucial for applying research findings to clinical practice. These statistical tools ultimately support evidence-based practice and ensure informed decision-making by clinicians.

关键词： descriptive statistics Cardiothoracic surgery Central tendency Evidence-based medicine Biostatistics

来源：评论

学校读者我要写书评

暂无评论

QuaDS: A qualitative/quantitative descriptive statistics Python module

引用

SOFTWAREX 2025年 30卷

作者： Bouanich, A. El Ghaziri, A. Santagostini, P. Pernet, A. Landes, C. Bourbeillon, J. Univ Angers Intitut Agro INRAE IRHSSFR QuaSaV F-49000 Angers France Univ Angers Inst Agro INRAE IRHSSFR QuaSaV F-49000 Angers France

In this research, we introduce a new Python bioinformatics tool. QuaDS (Quantitative/Qualitative Description statistics) is a pipeline tailored to describe a factor (a qualitative variable of interest) in heterogeneous datasets consisting of qualitative and quantitative variables. This pipeline separately analyze s the variables related to the factor using appropriate statistical tests. The QuaDS pipeline offers an interactive visualization that describes the factor. Several parameters can be defined by the user to ensure the most personalized results based on their data.

关键词： descriptive statistics Groups/clusters Python ANOVA Hypothesis test Factor of interest

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics and probability distributions of volumetric parameters of a Nigerian heavy oil and bitumen deposit

引用

JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY 2019年第1期9卷 645-661页

作者： Mosobalaje, O. O. Orodu, O. D. Ogbe, D. Covenant Univ Dept Petr Engn Ota Nigeria African Univ Sci & Technol Abuja Nigeria

The absence of geostatistical modeling of volumetric parameters of the long-discovered Nigerian heavy oil and bitumen deposits is responsible for the inconsistencies surrounding estimates of hydrocarbon-in-place contained therein. An exploratory data analysis (EDA) is a pre-cursor to such modeling. As part of EDA, this work presents the descriptive statistics and probability distributions of the volumetric parameters of a Nigerian heavy oil and bitumen deposit. Raw data from the existing works have been assembled into a database. Using basic principles, porosity have been computed, from the raw data, for several core samples retrieved from the two bituminous horizons in the deposit. The computed database has been partitioned into the two horizons, using depth-to-top and thickness data. Furthermore, this work has conducted detailed analyses and offers robust discussions on the descriptive statistics and probability distributions of the porosity, depth-to-top, and thickness databases. The statistics and distribution curves obtained are observed to exhibit good correlations with existing geologic, stratigraphic, and textural data. An hypothesis suggesting the two horizons belong to same geological population has been formulated and tested at field and well levels;with results affirming the hypothesis. The descriptive statistics and probability distributions obtained offer a significant understanding of the characteristics and features of the available data. In addition, the distributions now become prior information to which reservoir descriptions would be constrained, in the future conditional simulation stage of this work. The correlation of core data obtained here with the existing geologic, stratigraphic, and textural data would promote data integration in the characterization of this deposit.

关键词： Heavy oil and bitumen Nigeria descriptive statistics Probability distribution Porosity Payzone thickness

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics and risk assessment for the control of seasonal pollutant effects of ²¹⁰Po and ²¹⁰Pb in coastal waters (Canakkale, Turkey)

引用

JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY 2018年第2期315卷 285-292页

作者： Akozcan, Serpil Kulahci, Fatih Kirklareli Univ Fac Sci & Literature Dept Phys Campus Kayali Kirklareli Turkey Firat Univ Div Nucl Phys Dept Phys Fac Sci Elazig Turkey

Po-210 is absorbed into the human body by seafood intake. Especially, mollusks and mussels are known to have much higher Po-210 concentration than fish among various other types of seafood and are consumed in large quantities in Aegean Sea. Po-210 and Pb-210 radionuclide concentrations are obtained in the Mediterranean mussel (Mytilus galloprovincialis) and in the sediment samples collected from the Canakkale. The activity concentrations of Po-210 and Pb-210 are counted using alpha spectrometry. Activity concentrations of Po-210 and Pb-210 in mussels are in the ranged of 227 +/- 11-540 +/- 38 and 17 +/- 4-48 +/- 5 Bq kg(-1) dw (dry weight), for sediments the ranges are 23 +/- 6-41 +/- 3 and 15 +/- 3-44 +/- 1 Bq kg(-1) dw, respectively. Additionally, annual committed effective dose are calculated due to consumption mussel in Canakkale coastal region. The highest effective doses of Po-210 and Po-210 are found as 3187 and 56 mu Sv, respectively. Finally, risk analysis assessment is recommended to determine the pollutant effects of radionuclides. The risk fractions at the concentrations are easily determined with this evaluation process. This methodology has made a great contribution to risk assessments.

关键词： Risk analysis Po-210 Pb-210 descriptive statistics Mussel Sediment Annual dose

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics in research and teaching: are we losing the middle ground?

引用

QUALITY & QUANTITY 2016年第5期50卷 2165-2174页

作者： Proches, Serban Univ KwaZulu Natal Discipline Geog Westville CampusPrivate Bag X54001 ZA-4000 Durban South Africa

There is a poignant divide in contemporary research between qualitative and quantitative approaches, with relatively few disciplines employing the two concurrently and harmoniously. Qualitative methods are to be found almost exclusively in social sciences, and only a few disciplines in this field integrate them with quantitative approaches. The quantitative approach is especially developed in natural sciences, with exceptionally sophisticated methodology developed around hypothesis testing and inferential statistics. The obvious middle ground is represented by the historical approach, combining verbal description with descriptive statistics. The latter offers amazing options towards data visualisation, yet carries relatively little weight in terms of academic success. This paper presents an account of how descriptive statistics has fared historically, with an emphasis on disciplines in the natural sciences and geography-where the author can contribute a personal account. I argue that a more even spread of the three broad types of methodologies would benefit research across fields. Such a spread, if reflected in the school system, would be particularly helpful in facilitating the transition from secondary to tertiary education, and from there to entering research.

关键词： Data visualisation descriptive statistics Geography Inferential statistics Life sciences

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics for Modern Test Score Distributions: Skewness, Kurtosis, Discreteness, and Ceiling Effects

引用

EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT 2015年第3期75卷 365-388页

作者： Ho, Andrew D. Yu, Carol C. Harvard Univ Grad Sch Educ Cambridge MA 02138 USA

Many statistical analyses benefit from the assumption that unconditional or conditional distributions are continuous and normal. More than 50 years ago in this journal, Lord and Cook chronicled departures from normality in educational tests, and Micerri similarly showed that the normality assumption is met rarely in educational and psychological practice. In this article, the authors extend these previous analyses to state-level educational test score distributions that are an increasingly common target of high-stakes analysis and interpretation. Among 504 scale-score and raw-score distributions from state testing programs from recent years, nonnormal distributions are common and are often associated with particular state programs. The authors explain how scaling procedures from item response theory lead to nonnormal distributions as well as unusual patterns of discreteness. The authors recommend that distributional descriptive statistics be calculated routinely to inform model selection for large-scale test score data, and they illustrate consequences of nonnormality using sensitivity studies that compare baseline results to those from normalized score scales.

关键词： exploratory data analysis psychometrics high-stakes testing accountability descriptive statistics

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics From Published Research: A Readily Available Alternative to Raw Data to Assess Analytic Reproducibility and Robustness

引用

ADVANCES IN DEVELOPING HUMAN RESOURCES 2019年第4期21卷 421-437页

作者： Nimon, Kim Conley, David Bontrager, Marvin Keiffer, Greggory L. Hammack-Brown, Bryn Univ Texas Tyler Dept Human Resource Dev Tyler TX 75799 USA Univ Texas Tyler 3900 Univ Blvd Tyler TX 75799 USA Georgia Gwinnett Coll Management Sch Business Lawrenceville NJ USA Houston Baptist Univ Management Archie W Dunham Coll Business Houston TX USA Houston Baptist Univ Sci Human Resource Management Archie W Dunham Coll Business Houston TX USA Tarleton State Univ Management Coll Business Adm Stephenville TX USA

The Problem Meta-science literature calls for data to be made openly available so that scholars and scholar-practitioners can validate published findings, a foundational step in the reproducibility spectrum. However, access to original research data is an ongoing dilemma in various disciplines, including human resource development. The Solution Scholars and scholar-practitioners have the opportunity to evaluate the credibility of previous studies without access to the original raw data. The use of descriptive statistics from published research offers an alternative to assess the reproducibility and robustness of selected prior research. The Stakeholders In addition to validating research before applying implications for practice in the field, practitioners could benefit from working with scholars and scholar-practitioners by assessing analytic robustness and reevaluating data through a new framework to address burgeoning organizational problems, potentially saving resources. Scholars can reimagine conceptual frameworks based on advances to theory and statistical analyses capabilities. For emerging scholars, the ability to validate prior research or apply new models using the information contained in a publication can create a learning opportunity to understand statistical analyses.

关键词： descriptive statistics meta-science analytic reproducibility analytic robustness general linear model

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics of Non-Uniform Interval Symbolic Data 09

Descriptive Statistics of Non-Uniform Interval Symbolic Data

引用

World Summit on Genetic and Evolutionary Computation (GEC 09)

作者： Guo Jun-peng Li Wen-hua Gao Feng Tianjin Univ Sch Management Tianjin 300072 Peoples R China

ISBN: (纸本)9781605583266

As a new kind of data mining method, symbolic data analysis (SDA) can not only decrease the computational complexity of huge data. but also master the property of the sample integrally by data package technology. Interval number is one of the most important types of symbolic data. Previous studies assumed each individual to be uniformly distributed within the interval, but the fact is not so. Non-uniform interval symbolic data is defined in this paper, and the study, is concentrated on their descriptive univariate statistics and bivariate statistics. On the basis of the study on empirical distribution function for non-uniform interval symbolic data, the calculation formula of mean and variance of non-uniform interval variables is achieved. Furthermore, covariance and correlation coefficient between two non-uniform interval variables are solved based on their empirical joint distribution function. Finally, an example is given.

关键词： symbolic data analysis non-uniform interval descriptive statistics

来源：评论

学校读者我要写书评

暂无评论

descriptive statistics and Cluster Analysis for Extreme Rainfall in Java Island 3

Descriptive Statistics and Cluster Analysis for Extreme Rain...

引用

3rd International Seminar on Sciences - Sciences on Precision and Sustainable Agriculture (ISS)

作者： Komalasari, K. E. Pawitan, H. Faqih, A. Bogor Agr Univ Bogor Indonesia Bogor Agr Univ Dept Geophys & Meteorol Bogor Indonesia

This study aims to describe regional pattern of extreme rainfall based on maximum daily rainfall for period 1983 to 2012 in Java Island. descriptive statistics analysis was performed to obtain centralization, variation and distribution of maximum precipitation data. Mean and median are utilized to measure central tendency data while Inter Quartile Range (IQR) and standard deviation are utilized to measure variation of data. In addition, skewness and kurtosis used to obtain shape the distribution of rainfall data. Cluster analysis using squared euclidean distance and ward method is applied to perform regional grouping. Result of this study show that mean (average) of maximum daily rainfall in Java Region during period 1983-2012 is around 80-181mm with median between 75-160mm and standard deviation between 17 to 82. Cluster analysis produces four clusters and show that western area of Java tent to have a higher annual maxima of daily rainfall than northern area, and have more variety of annual maximum value.

关键词： extreme rainfall maximum daily rainfall descriptive statistics cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Quality Analysis of Photovoltaic System Using descriptive statistics of Power Performance Index

引用

IEEE ACCESS 2023年 11卷 28427-28438页

作者： Kim, Gyu Gwang Hyun, Jin Hee Choi, Jin Ho Ahn, Seong-Hyeon Bhang, Byeong Gwan Ahn, Hyung-Keun Konkuk Univ Next Generat Photovolta Module & Power Syst Res Ct Seoul 05029 South Korea Konkuk Univ Dept Elect Engn Seoul 05029 South Korea

The performance evaluation (PE) of the Photovoltaic(PV) system is an index representing the efficiency and reliability of the system. Most PE indicators evaluate the ratio of theoretically calculated power generation to actually measured power generation. The closer the ratio is to 1, the more ideal the PV system is. PV system varies depending on weather conditions and regional characteristics, especially on the types of sensors and measuring variables. Floating Photovoltaics (FPVs) and Marine photovoltaics (MPVs) vary with the environmental variables more as it is installed on the water and sea. In this paper, on the contrary to the existing PE methods, the most accurate regression model considering ambient temperature, relative humidity, and wind speed was used to predict the power in order to improve the accuracy. The optimal PE method for the PV system to easily and accurately detect failures of the PV system is proposed. Data from three FPVs in the same environment were analyzed for 1 year. The PV power prediction model including the wind speed and relative humidity was used to improve accuracy. The quality diagnosis was performed with an improved PE and the impact of various events can be represented through this. In this paper, the distribution of the corresponding Power Performance Index (PPI) values was analyzed using a descriptive statistic method, and indicators in terms of quality control were presented. The PV power generation state can be determined by the location of the average and median values of the boxplot. The fluctuation of PV power generation was identified using the size change of Inter Quartile Range (IQR), which represents the degree of data scattering. As a result, it was confirmed that failure occurred in the system when the IQR value is 2 times bigger than the normal IQR value.

关键词： Power generation Power measurement Predictive models Performance analysis Photovoltaic systems Wind speed Temperature Quality diagnosis power performance index descriptive statistics floating and marine photovoltaics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：