Benchmaking the Efficiency of Government Warehouse Operations: A Data Enveronment Analysis Approach It similarly seems unlikely that parents have zero concern for peer group. In the
presence of direct or indirect peer effects on student learning, parents would be irrational to
ignore peer group in their evaluations of schools, and anecdotal evidence suggests that they
do not do so.
This study examines the technical and scale efficiencies for a sample of irrigated and rainfed rice farmers in Anambra State, using data envelopment analysis (DEA). Two(2) local government areas were purposively selected; three communities were randomly selected giving a total of six(6) communities.
This is a substantially new and different edition of Systems Analysis and Design.
We hope that the new materials bring it up to date and that we’ve
kept the best of the old. It has been written for people studying systems
analysis and design or who are already working in systems teams. People
who are involved in the development of new systems or the development of
new systems analysts, or both, have written it.
It is intended to be a practical book, easy to read and easy to use. It follows
the same structure as the previous edition and has new and updated
material in it. There are...
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:
Research Article Cancelling ECG Artifacts in EEG Using a Modiﬁed Independent Component Analysis Approach
Tuyển tập các báo cáo nghiên cứu khoa học trên tạp chí khoa học vật lý quốc tế đề tài: THE COVARIABILITY BETWEEN ANOMALOUS NORTHEAST MONSOON RAINFALL IN MALAYSIA AND SEA SURFACE TEMPERATURE IN INDIAN-PACIFIC SECTOR: A SINGULAR VALUE DECOMPOSITION ANALYSIS APPROACH
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classiﬁer with binary unigram weights. In this paper, we explore whether more sophisticated feature weighting schemes from Information Retrieval can enhance classiﬁcation accuracy. We show that variants of the classic tf.idf scheme adapted to sentiment analysis provide signiﬁcant increases in accuracy, especially when using a sublinear function for term frequency weights and document frequency smoothing.
Chapter 4 - Systems analysis. After studying this chapter you will be able to: Define systems analysis and relate it to the scope definition, problem analysis, requirements analysis, logical design, and decision analysis phases; describe a number of systems analysis approaches for solving business system problems; describe scope definition, problem analysis, requirements analysis, logical design, and decision analysis phases in terms of information system building blocks;...
Tài liệu về kinh tế học pháp luật. Tài liệu bằng tiếng Anh, mời các bạn cùng tham khảo. Economic analysis of law usually proceeds under the assumptions of neoclassical
economics. But empirical evidence gives much reason to doubt these
assumptions; people exhibit bounded rationality, bounded self-interest, and
bounded willpower. This article offers a broad vision of how law and economics
analysis may be improved by increased attention to insights about actual
Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences is an invaluable text allowing students to develop appropriate key skills when designing experiments, generating results, analysing data and ultimately presenting findings to academics and referees. Taking a hands-on approach, each of these key areas is introduced clearly and carefully, showing how to access and evaluate information using a variety of resources.
Basic analytical theory is gradually introduced alongside practical applications to enhance student understanding.
Algorithms play the central role both in the science and practice of computing.
Recognition of this fact has led to the appearance of a considerable number
of textbooks on the subject. By and large, they follow one of two alternatives
in presenting algorithms. One classifies algorithms according to a problem type.
Such a book would have separate chapters on algorithms for sorting, searching,
graphs, and so on. The advantage of this approach is that it allows an immediate
comparison of, say, the efficiency of different algorithms for the same problem.
At the beginning of the 19th century the description of matter attained, what one
would call today, a scientific basis. Dalton1 supported the atomic theory with
experiments permitting the development of modern chemistry. The book “A New
System of Chemical Philosophy,” describes this new approach. In Fig. 1.1, an
excerpt is displayed. Chapters I and II give a summary of the contemporary
understanding of nature by analyzing heat and mass, the two basic building-blocks
of any material. Chapter I displays the theory of the caloric as it was generally...
This book is about foundational issues in risk and risk analysis; how risk should
be expressed; what the meaning of risk is; how to understand and use models;
how to understand and address uncertainty; and how parametric probability
models like the Poisson model should be understood and used. A unifying and
holistic approach to risk and uncertainty is presented, for different applications
During the four years since publication of the Fifth Edition of Gene Cloning and DNA
Analysis: An Introduction there have been important advances in DNA sequencing
technology, in particular the widespread adoption of high throughput approaches based
on pyrosequencing. Inclusion of these new techniques in the Sixth Edition has prompted
me to completely rewrite the material on DNA sequencing and to place all the relevant
information—both on the methodology itself and its application to genome sequencing
—into a single chapter.
This book is about coding interview question of software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) tips to solve difficult problems
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.