Choose One Of The Forecasting Methods And Explain The Rationale Behind Using It In Real Life What Is The Difference Between A Causal Model And A Time Series Model

  • Real-Time Fraud Detection

    strategies to build a Streambased Fraud Detection solution, using advanced Data Mining Algorithms and Statistical Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve

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  • Development of a Qualitative Reasoning Model for Financial Forecasting

    Development of a qualitative reasoning model for financial forecasting Paper type Research paper Introduction Qualitative reasoning systems employ model-based reasoning using qualitative values. Model-based reasoning systems are specific types of knowledge-based systems in which the underlying causal model of the system is represented. This makes the systems less brittle than heuristic systems, which fail to provide solutions outside their narrow domain of expertise (Jackson, 1990; Iwasaki and

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  • Demand Forecasting

    DEMAND FORECASTING: EVIDENCE-BASED METHODS Forthcoming in the Oxford Handbook in Managerial Economics Christopher R. Thomas and William F. Shughart II (Eds.) Subject to further revisions File: Demandforecasting-17-August-2011-clean.docx 17 August 2011 J. Scott Armstrong The Wharton School, University of Pennsylvania 747 Huntsman, Philadelphia, PA 19104, U.S.A. T: +1 610 622 6480 F: +1 215 898 2534 armstrong@wharton.upenn.edu Kesten C. Green International Graduate School of Business, University of

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  • Explain and Evaluate the Models of Abnormailty.

    Q(a): Explain in your own words what is meant by a 'model of abnormality'?[2] A: Models of abnormality each offers a different explanation for the origins of mental disorders. They are basically the conceptual models, each research and treatment adopted according to it. (b): Describe models of abnormality. [8] A: There are four type of models: Medical model (or Biological method), Psychodynamic model, Behavioral model and the Cognitive model. Medical model (or Biological model) is a view

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  • Forecasting Model

    group of forecasters. Neither is forecasting ever "finished". Forecasts are needed continually, and as time moves on, the impact of the forecasts on actual performance is measured; original forecasts are updated; and decisions are modified, and so on. For example, many inventory systems cater for uncertain demand. The inventory parameters in these systems require estimates of the demand and forecast error distributions. The two stages of these systems, forecasting and inventory control, are often

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  • Crossdressing and the One Sex Model

    Bernhard Werner Cross-Dressing in Early Modern Drama and Prose September 11, 2012 The One Sex Model and Cross Dressing: “Assaulted and Pursued Chastity” “Behind every great man there’s a great woman”. If we had to define the term ‘’early modern’’, it would sure be a task that would not be easy to solve. The most of us would clearly try to define this term with the answer; everything that has not been written in old English can be seen as modern. But as it is often the case, the devil

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  • Work and None Work Models

    Psychological Bulletin 1980, Vol. 88, No. I. 60-77 Work and Nonwork: A Review of Models, Methods, and Findings Boris Kabanoff School of Social Sciences, Flinders University of South Australia, Bedford Park, South Australia This article examines theory and research in the field of work/nonwork relations. Three different theories of work/leisure relations are examined—compensation, generalization, and segmentation. All three theories have received some support; however, the review indicates that

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  • Using Uml to Model System

    I. INTRODUCTION This IDoc describes use of the Unified Modeling Language (UML) to model and document Accounting Information Systems (AIS). The objective of modeling AIS is multifaceted and can be to: visualize, understand, summarize, detail, analyze, design, develop, implement, operate, secure, control, or audit the AIS. UML is a powerful modeling language and technique for all of these modeling tasks and is more robust and semantically superior to the commonly used Structured Analysis (SA) modeling

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  • Exchange Rate Random Walk Model

    Forecasting the USD/COP Exchange Rate: A Random Walk with a Variable Drift Peter Rowland Banco de la República* Abstract This study develops three exchange rate models as well as a simple statistical model defined as a random walk with a variable drift. The exchange rate models all use the purchasing power parity hypothesis to account for the long-term relationships between prices and the exchange rate, together with error correction models to represent any shortterm dynamics. The models are

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  • Porter Model

    You might find the summaries a helpful reminder of what the concepts are and how they can be valuable in your project. Also, some topics found here are not covered in lectures or assigned readings (specifically, Sections 2.2, 2.4, and 5.1-5.5). These are additional topics on conceptual (i.e. MBA) marketing and strategy. Since lectures in this project course are limited and emphasize quantitative models for strategy, we do not have the time to cover all the topics in class. However, if you are

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  • Making Decisions Based on Demand and Forecasting

    Research 9 IV. Build the Data Set 11 Choose the Variables 11 Data Availability 11 Data Types 12 Prepare the Data 13 Data Cleaning and Preliminary Examination 14 Preparing the Data Variables 14 References and Additional Information 19 V. Choose the Demand Model 20 Determine the Identification Problem 20

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  • Using Examples, Explain the Difference Between Obscene and Indecent Materials.

    1. Using examples, explain the difference between obscene and indecent materials. Obscene and indecent both have different meanings but are similar in many ways. Obscene material is described as disgusting or repulsive but indecent material is described as being offensive to the public. Both obscene and indecent can be view differently by the public; however, the Constitution plays a role with indecent material. Obscene material "is not protected by the First Amendment,” (The Dynamics of Mass

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  • Forecasting Models

    trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders. Patents MathWorks products are protected by one or more U.S. patents. Please see www.mathworks.com/patents for more information. Revision History December 1996 May 1997 September 1998 September 2000 June 2001 July 2002 August 2002 June 2004 October 2004 March 2005 June 2005 September 2005 March

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  • S2S Business Model

    of leadership in organizations, and then describes the Scenarios-toStrategies method (S2S) and its benefits. Features of the S2S are presented in contrast with another approach that is here labeled 'Level One Scenarios'. An example of a Level One Scenario approach is available as a published case [11]. The S2S is considered to be a Level Two Scenario method in the comparison table below. Describing the contrasts between the approach used in the UPS case, and in the S2S, helps distinguish the attributes

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  • Forecasting Model in Use

    BU3315 Unit 4 Research Paper 2 Forecasting Model in Use For this research paper I used a study done by Sprint for forecasting usage costs and computer capacity required for their network and cell phone towers. The use of data related to transactions collected from computing devices in their facilities was used to calculate a forecast of usage at peak hours. This study was done in the early stages of Sprint becoming a cell phone company and it is still used today to help upgrade and maintain

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  • Three-Month Exchange Rate Forecasting Between Usd and Jpy

    Three-month Exchange Rate Forecasting between USD and JPY Abstract This paper aims at the forecast of USD-JPY exchange rate on 1st May, 2012 based on the data collected before 1st Feb. 2012. The result proves satisfactory predictions when summarize using the fundamental forecasting, market-based forecasting and mixed forecasting all into consideration. The use of PPP gives the most accurate prediction comparing with the real rate of 1st May, 2012, though the exchange rate is actually affected

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  • Forecasting

    ECONOMIC FORECASTING TOPIC I TOPIC I. FUNDAMENTALS OF ECONOMIC FORECASTING   Contents 1. Meaning of forecasting 2. Features, importance and limitations of forecasting 3. Forecast types   1. Meaning of forecasting Forecast is a likely, scientifically well-grounded opinion about the possible state of the events, objects or processes in the future. Forecasting is a process of making statements about events whose actual outcomes (typically) have not yet been observed. Forecasting is a process

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  • Forecasting Gold Prices Using Multiple Linear Regression Method

    Forecasting Gold Prices Using Multiple Linear Regression Method Z. Ismail, 2A. Yahya and 1A. Shabri Department of Mathematics, Faculty of Science 2 Department of Basic Education, Faculty of Education University Technology Malaysia, 81310 Skudai, Johor Malaysia 1 1 Abstract: Problem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction

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  • Models of Communication

    Models of communication refers to the conceptual model used to explain the human communication process. The first major model for communication came in 1949 by Claude Elwood Shannon and Warren Weaver for Bell Laboratories[1] Following the basic concept, communication is the process of sending and receiving messages or transferring information from one part (sender) to another (receiver).[2] ------------------------------------------------- Shannon and Weaver to[edit] The original model was designed

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  • Research Methods

    Business research Business research can be described as a systematic and organized effort to investigate a specific problem encountered in the work setting that needs a solution. It comprises a series of steps designed and executed, with a goal of finding answers to the issues that are of concern to the manager in the work environment. This means that the first step in research is to know where the problem areas exist in the organization, and to identify as clearly and specifically as possible the

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  • Personal Model of Helping

    Paper on Personal Model of Helping The following paper discusses the personal model of helping called the existential therapy model. The model of therapy is used to help people in counseling live better, stress free lives by exploring themselves and learning to live an authentic life. This model is effective when the therapist is authentic themselves and are genuine about helping others, which builds a positive relationship between the therapist and the client. This kind of model allows the client

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  • Model Checking Using Pat

    Automatic Model Checking of State Machines A seminar report submitted to MANIPAL UNIVERSITY For Partial Fulfillment of the Requirement for the Award of the Degree of Master of Technology in Software Engineering by Anusha A Reg. No. 130928001 February 2014 Abstract The idea of Model Driven Development (MDD) is to specify requirements of systems in a formal (usually graphical) notation. UML is the initial and dominant modelling phase in software engineering arena. If errors are occurring

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  • Key Differences Between the Most Popular Methods, the Npv Method and Irr Method

    Key differences between the most popular methods, the NPV Method and IRR Method, include: * NPV is calculated in terms of currency while IRR is expressed in terms of the percentage return a firm expects the capital project to return; * Academic evidence suggests that the NPV Method is preferred over other methods since it calculates additional wealth and the IRR Method does not; * The IRR Method cannot be used to evaluate projects where there are changing cash flows (e.g., an initial

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  • Time Series Analysis

    REPORT ON TIME SERIES ANALYSIS REPORT ON TIME SERIES ANALYSIS SUBMITTED TO M. KHAIRUL HOSSAIN PROFESSOR Department Of Finance University Of Dhaka SUBMITTED BY Group – 17 Section-A BBA 12th Batch Department Of Finance WE ARE... |Sl. No |Name |Roll No | |1. |Dulal Paul |12-143

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  • Tra Using Advice Model

    Introduction TRA is an acronym that means Transfer, Retention and Application. TRA could be done using ADVISE model. ADVISE is an acronym that means: • A for analytical learning. • D for Descriptive learning. • V for Visualization of ideas. • I for Interactive assessment. • S for Split testing. • E for Experiential learning. TRA Transfer Knowledge is being transfer to the student using different methods as video and case studies and presentations. Presentations and videos are powerful tools

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  • Using a Valuation Model to Estimate a Firm's Stock Price

    [pic] Michael G. Foster School of Business Using a Valuation Model to Estimate a Firm’s Stock Price* In the ongoing search for bargains in the stock market, analysts and investors rely on models to estimate the intrinsic value of a firm’s equity. By comparing the valuation suggested by their model to the actual value in the marketplace, they form opinions as to whether a given stock is under or over valued. Valuation models are also used by investment bankers as an aid to pricing initial

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  • Forecasting the Quarterly Rice Production in the Province of Iloilo Using Different Forecasting Models

    first used in the middle of the 13th century, undergoes a long journey on derivation of its name. It is written to have originated from the Old French, “ris,” which came from the Italian “riso,” which in turn from the Latin “oriza.” Despite having a series of appellation, rice is simply the seed of the monocot plants Oryzasativa (Asian rice) or Oryzaglaberrima (African rice), considered to be the most utterly consumed staple food for a vast portion of the world’s human population, specifically in Asia

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  • Forecasting Model

    construction industry depends not only on the ability to optimize operations within industry, adapt to external conditions, but also on the country's economic development, the situation in the market. The Manpower forecasting model. The Estimated Manpower Forecast Model is designed to capture the future labour requirements of the engineering construction industry by key sectors. Manpower is undoubtedly a valuable asset upon which the construction industry depends. However, rapid changes

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  • Solution of a Mathematical Model on Pollutant Concentration Using Adomian Decomposition Method

    Mathematical Model of Pollutant Concentration in a Channel Flow using Adomian Decomposition Method U. Isip, T. Aboiyar and E. S. Onah Department of Mathematics/Statistics/Computer Science, University of Agriculture, Makurdi, Nigeria Abstract This paper focuses on the solution of a model for nonlinear dispersion of a pollutant ejected by an external source into a laminar flow of an incompressible fluid in a channel. The model equations are solved using the Adomian Decomposition Method, which

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  • Time Series Arima Project

    Predicting Initial Claims Using ARIMA models I. Introduction Initial claims is a measure of the number of jobless claims filed by individuals seeking to receive state jobless benefits. This number is watched closely by financial analysts because it provides insight into the direction of the economy. Higher initial claims correlate with a weakening economy. According to Investopedia.com, the strength of a nation's economy will have an impact on the appreciation or depreciation of its

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  • Foreign Direct Investment and Growth in Cyprus: a Causal Relationship

    FOREIGN DIRECT INVESTMENT AND GROWTH IN CYPRUS: A CAUSAL RELATIONSHIP N0373193 This research project is submitted in part-fulfilment of the degree of Bachelor of Arts (Honours) Economics, Finance and Banking Nottingham Business School Nottingham Trent University Summer 2014 Chosen Target Peer-Refereed Academic Journal: Journal of Internet Banking and Commerce, December 2011, vol. 16, no. 3 (http://www.arraydev.com/commerce/jibc/) Declaration: I declare that I have personally prepared this article and

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  • A Rationale Behind a History Scheme of Work

    However, a determination to facilitate pupil progression in six concepts at the heart of our subject should be valued as a way to structure our planning, teaching and assessment. What is more, aspiring to teach such crucial concepts – in addition to the corresponding Key Processes – should complement rather than devalue what is, in my opinion, the history teacher’s unique advantage; insodoing, it would release our subject from the constant demands being placed on it to justify its place in the curriculum

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  • Forecasting

    FORECASTING - a method for translating past experience into estimates of the future. Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation of the expected value for some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively

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  • A Time Series Forecasting Analysis on the Monthly Stocks of Rice in the Philippines

    A Time Series Forecasting Analysis on the Monthly Stocks of Rice in the Philippines A Research Paper Presented To Dr. Cesar Rufino Of the Department of Economics School of Economics De La Salle University, Manila In Partial Fulfillment of the Course Requirements in Economic Forecasting (ECOFORE) Term 3 AY 2014-2015 Submitted by: Jayme, Kevin Matthew D. April 24 2015 0 I. Introduction The Philippines has been the accredited as an agricultural nation that provides

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  • Model of Instruction: Problem-Centered Model One: the Suchman Inquiry Model

    Topic: Science Model of Instruction: Problem-Centered Model One: The Suchman Inquiry Model Grade Level: 2-6 (Multiple Disabilities) Standard: Recognize how to stay healthy Objectives and Assessments (as many as needed; usually no more than three) Objective: By the end of the lesson, students will be able to list 5 methods towards staying healthy. Assessment: Students will be given a worksheet and will have to list 5 methods towards staying healthy. Shown below is how the worksheets

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  • Computer Models of the Mind Are Invalid

    Journal of Information Technology (2008) 23, 55–62 & 2008 JIT Palgrave Macmillan Ltd. All rights reserved 0268-3962/08 $30.00 palgrave-journals.com/jit Debate and Perspectives ‘Computer models of the mind are invalid’ Ray Tallis1, Igor Aleksander2 1 5 Valley Road, Bramhall, Stockport, Cheshire, UK; Imperial College of Science, Tech. and Medicine, Department of Electrical and Electronic Engineering, London, UK 2 Correspondence: R Tallis, 5 Valley Road, Bramhall, Stockport, Cheshire SK7 2NH,

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  • What Is Eprg Model

    ECOFORUM [Volume 3, Issue 2 (5), 2014] WHAT DO WE KNOW FROM EPRG MODEL? Krzysztof DRACHAL Warsaw University of Technology, Poland k.drachal@mini.pw.edu.pl Abstract The aim of this paper is to present the fundamental ideas behind EPRG model. They are discussed with some illustrating examples. Moreover, some attention is drawn on the evolution from one orientation to another. In particular, the geocentric orientation is widely discussed. General Electric is studied in more details as a

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  • Development of Time Series Model to Study Historical Trend of Road Traffic Accidents in the United States and Inspect the Factors Affecting the Trend

    DEVELOPMENT OF TIME SERIES MODEL TO STUDY HISTORICAL TRE ND OF ROAD TRAFFIC ACCIDENTS IN THE UNI TED STATES AND INSPECT THE FACTORS AFFECTING THE TREND Ashutosh Kedia M.Tech Project Thesis 2015 DEVELOPMENT OF TIME SERIES MODEL TO STUDY THE HISTORICAL TREND OF ROAD TRAFFIC ACCIDENTS IN THE UNITED STATES AND INSPECT THE FACT ORS AFFECTING THE TREND Thesis submitted to the Indian Institute of Technology, Kharagpur For award of the degree of Master of Technology by Ashutosh Kedia Under the guidance

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  • Choose One of the Forecasting Methods and Explain the Rationale Behind Using It in Real Life. What Is the Difference Between a Causal Model and a Time- Series Model?

    Choose one of the forecasting methods and explain the rationale behind using it in real life. I would choose to use the exponential smoothing forecast method because it weighs the most recent past data more strongly than more distant past data. This makes it so that the forecast will react more strongly to immediate changes in the data. This is good to examine when dealing with seasonal patterns and trends that may be taking place. I would find this information very useful when examining the

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  • Problems. Provide Specific Examples to Support Your Rationale. Bus 515 Week 3 Discussion 2 Problems. Provide Specific Examples to Support Your Rationale Week 3 Discussion 2

    support your rationale. Analyze the role of an operations manager, and then determine three challenges that an operations manager will respond to differently within a manufacturing industry as opposed to a service industry. BUS515 week 1 Discussion 2 "Development of OM" Please respond to the following: Evaluate three historical developments in OM, focusing on one major movement in history. Next, assess the significance that each of the three selected developments had during the corresponding time period

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  • Quantitative Models

    page intentionally left blank Quantitative Models in Marketing Research Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics and marketing-mix variables. This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained

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  • Business Model Review

    Business 121 Slide Ⅰ 1. What is a business model? * * A business model describes the rationale of how an organization creates, delivers, and captures value.(How a company intends to make money / the logic by which it sustains itself financially. Or how your idea actually becomes a business.) * * 2.Business model canvas? * * * * * * * * * * * * * * * * * * * * * *

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  • Comparison and Difference Between Johnson and Roys Adaptation Model

    neither shows motor retardation nor compulsions. SPEECH PATTERNS Intensity of voice of client was moderate, was speaking at the usual rate and was responding to questions without asking also, answered in relaxed manner. She was using less reaction time to answer questions .Data about vocabulary was non significant. DISORDER OF THOUGHT PROCESS There are two aspects of disorder: * Disorder of form of thought * Disorder of content of thought THOUGHT FORM The

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  • An Analysis of the Choice Between Separated and Mixed Operation Model for Icbc( London)

    An analysis of the choice between separated and mixed operation model for ICBC( London) Abstract: Since the fifth wave of Merge and Acquisition in the 1990s, the global banking industries have developed towards the direction of large-scale, international and omnipotent banks. The mixed operation of the commercial banks had already been the leading trend in the 21st century. With China’s entrance into WTO at the end of last century, the Chinese financial institutions, especially the Chinese

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  • Forecasting

    Between a Causal Model And a Time- Series Model? In: Business and Management Choose One Of The Forecasting Methods And Explain The Rationale Behind Using It In Real Life. What Is The Difference Between a Causal Model And a Time- Series Model? Choose one of the forecasting methods and explain the rationale behind using it in real life. I would choose to use the exponential smoothing forecast method because it weighs the most recent past data more strongly than more distant past data. This makes

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  • Forecasting with Time Series

    Forecasting with Time Series QRB/501 Quantitative Reasoning for Business February 7, 2012 Forecasting with Time Series For most companies, forecasting is very important. Their future can be determined with forecasting and this also helps pin point the problems of the past. Forecasting can be done in many methods, depending on what exactly is being forecasted. A forecasting tool used to determine demand for various commodities or goods in a given marketplace over the course of a typical

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  • Time Series Analysis

    Time series analysis We are pleased to submit the following report on the “Time Series Analysis”. By completing the report, we have got acquainted importance and relevance of time series on business application. We also perceived idea on the whole process of Time Series Analysis. We acquired knowledge about the method of measuring trend, growth rate, acceleration rate etc. In spite of limitation of time & opportunity we have tried our level best to complete the report. We are pleased to provide

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  • Using Simple Regression Model to Explain the Relationship Between 3-Month T-Bill Rate and Dow-Jones Index

    Using the simple regression model to explain the relationship between 3-Month T-bill rate and Dow Jones Index Index 1. Introduction………………………………………………3 2. Modeling the relationship between the 3-Month T-bill rates and Dow Jones Index (First Model)……………………3 3. Hypothesis and Testing…………………………………...4 4. Empirical Analysis………………………………………...5 5. Further Comparison………………………………………5 6. Conclusion…………………………………………………7 7. Appendix……………………………………………………8 8. Reference…………………………………………………

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  • What Are the Major Differences Between Proton Saga 1.6 Fl and 1.6 Flx Model?

    There are 6 series of Proton Saga. The first series is Proton Saga (1985-1991), Proton Saga Iswara/ Proton Saga Aeroback/ Proton Iswara (name based on a butterfly species in Sarawak) (1992-2003), Proton Saga LMST (2003-2008), Proton Saga BLM (2008-2010), Proton Saga Face Lift (FL) (2010-2011) and recently is Proton Saga Face Lift Extra (FLX) (2011-Present). Proton Saga 1.3 FL and Proton Saga 1.3 FLX is a new version of Proton Saga introduce last year. This 1.3 Saga is introduced to cater the people

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  • Associative and Time Series Forecasting

    Forecasting Models: Associative and Time Series Forecasting involves using past data to generate a number, set of numbers, or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. Time Series and Associative models are both quantitative forecast techniques are more objective than qualitative techniques such as the Delphi Technique and market research. Time Series Models Based on the assumption that history will repeat

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